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Common Sense Beats Billion Dollar Blunders
Episode 1 • 12th July 2026 • Architecting Global Success: Talent, Strategy, and Turnarounds with Abilio Gonzalez • Srinivas Raghavan
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In this episode, we sit down with Abilio Gonzalez, a global operations and human capital expert whose remarkable 32-year career spans four continents and collaborations with over 19 different CEOs. Throughout his career, Abilio has spearheaded multi-billion dollar international projects and driven over $500 million in operating cost savings.

We dive deep into his "Level K" operational model, exploring his fundamental belief that HR and talent strategies must be intrinsically linked to a sustainable business growth strategy. Abilio opens up about the massive corporate blunders he’s witnessed and corrected, proving that strategic human resources is about driving the business forward, not just acting as a gatekeeper.

Key topics covered in this episode include:

  • The PepsiCo Ecosystem Lesson: Why hiring high-performing executives from outside the company often results in multi-million dollar failures, and why you have to bring in a leader's "ecosystem" to duplicate their success.
  • Challenging Steve Ballmer at Microsoft: The behind-the-scenes story of how Abilio defied Microsoft's rigid, legally-driven performance management curves to secure a larger merit budget for his highly profitable division.
  • Revolutionizing Global Staffing: How Abilio dismantled a bloated interview process that required 121 decision events per candidate, streamlining the system to scale Microsoft's hiring from 3,400 to 30,000 employees globally.
  • Navigating Mega-Crises: Wild stories from the trenches, including managing the fallout of a $450 million corporate fraud crisis in a Latin American joint venture, and how "Franchise University" helped PepsiCo regain its footing against Coca-Cola.
  • The True Cost of Bad Hires: A candid look at the millions of dollars wasted on poorly planned executive acquisitions, and how to successfully manage underperformers out of the business with strategic severance and compliance.

Whether you are a seasoned executive, an HR professional, or a leader looking to scale your team, Abilio’s data-driven, no-nonsense approach to talent acquisition and performance management will completely change how you view human capital.

Mentioned in this episode:

LevelKThinking

https://www.levelkthinking.com

Transcripts

Speaker:

I

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So you just,

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if you speak,

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it'll record it and then I'll have them.

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You can just speak the

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feedback and

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go to the section and

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point with your pointer

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and

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you just tell what what needs to change and

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I'll send up the recording.

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They'll change it in the morning.

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OK,

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renewal

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operating saving costs through my career

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amount to over $500 million.

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I can give you a breakdown if you want.

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We can add it later,

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but it's over $500,000

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5000 dollars,

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$500 million.

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When it comes to major international projects,

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the largest international project I managed was a $4 billion investment

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into Cambridge,

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Massachusetts,

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but

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together with that there have been multiple,

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multi-million dollar investments through my career of 32 years,

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both in and outside of the US,

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like opening 4 companies in India,

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one company in Singapore.

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Uh,

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3 companies in China

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and,

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uh,

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turning around a major joint venture in Brazil.

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So we've covered every countries including Russia,

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uh,

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which is a unique experience.

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Uh

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Yeah

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Uh,

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I use a lot of brush.

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But it was OK to go to Russia.

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Uh,

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I have lived in 4 lived and work in 4 continents,

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but I have worked for over 19 CEOs in my career

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in multiple

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global areas.

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Uh,

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I've conducted leadership facilitation.

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In Asia,

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both in the Philippines,

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in Japan,

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in Australia,

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in Hong Kong,

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in Malaysia,

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in China.

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And in Europe,

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you would say,

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the UK,

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Spain,

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Switzerland.

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In Latin America that will go the gamut from Mexico

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to Argentina,

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going by Venezuela,

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Colombia,

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Ecuador,

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Brazil,

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Chile.

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So extensive multi-country cultural experience.

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Do you see the new one I sent you?

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So we need to change it because I don't like the multicolor of this one

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that was created by uh

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the pilot

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so.

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This is but one of the things we do.

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This is not

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all the things we do.

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That's why I gave you the services.

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So what we,

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what I think that what

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you see is,

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uh,

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the level I think operational model from an HR leadership perspective starts here,

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and this applies to all the different projects.

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Yeah,

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for example,

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Yeah.

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I firmly believe that when it comes to strategy,

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uh,

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there's no other strategy unless there is

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a sustainable

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business growth strategy

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in existence.

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So the two of them

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support each other.

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Many practitioners believe they are not available in the other strategy.

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Away from whatever the business study,

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that doesn't make any sense.

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So

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why the strategy is so important is to support

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the overall sustainable growth business strategy.

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That's why you need a strategy.

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Today,

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with the advent of AI.

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It facilitate analytics that you can track

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to ensure that what you get what you can measure gets done.

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While that is a very old principle is

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even more true today.

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When it comes to talent acquisition and then,

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we can say that everything starts here.

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Companies have different uh strategy.

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For example,

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Procter and Gamble only hires from college,

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and they grow people from college all the way to the senior ranks.

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This has a great advantage of creating a common culture,

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but it has a great disadvantage and eventually you promote

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a person

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that is not capable of executing the CEO role

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and you have denied

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bringing in new ideas from the marketplace that could have helped the company.

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It happened to Proctor

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and the stock suffered significantly.

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Other companies like PepsiCo

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who believe

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on acquiring talent from the market constantly.

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Uh,

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when I joined PepsiCo,

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I was told 60% of your job is to bring talent into the company.

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40% of your job is to do the rest of the human capital work.

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I turned that around because I believe that the

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development of the talent that exists in the company

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is as or even more important than the talent that you bring from the outside.

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Through my 10 years in Pepsico,

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I worked with multiple CEOs,

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but working for

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Wayne Calloway,

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we conducted a survey

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of all executives hired in the company.

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This must have been in the late 90s.

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And what we found out is that of all those great talent executives that were hired

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after three years,

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all of them had left the company.

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So what did that taught us?

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There was a point

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inside of the career of a PepsiCo executive where you brought people in

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and they succeeded to their career,

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but bringing them at a very senior level

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was equivalent to failure.

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When you take into account the cost of acquisition,

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the cost that it takes to onboard an executive,

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and then for them to be able to execute and they leave within 3 years,

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you're losing huge amounts of money.

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You're talking about the mega million buck

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scenario.

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So I joined PepsiCo at the director level

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and we determined that that was the optimal place

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to bring an executive into PepsiCo.

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Anybody who came at a higher level will fail within 3 years.

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However,

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at the director level,

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they had an accelerated career path

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and they became PepsiCo people.

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They bled blue.

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That's what we said.

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In Coca-Cola,

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they would have bled red,

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but in PepsiCo,

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they bled blue.

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So,

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my learning from that experience together with the program,

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putting together with the program government experience of

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only from college,

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only from the market

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is that there's a happy medium

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of from college and the market at the appropriate level.

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You see this a lot

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in the sports teams and you see it a lot.

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There's been a lot of studies conducted in the

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The

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financial industry

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where you hire a high performer from Company A

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and you bring him with huge pay,

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huge compensation to Company B,

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only to see him fail within 3 years

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because

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the conditions of success in Company A

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are not present in Company B.

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and bringing just one person from A to B

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will not make B successful.

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So what we demonstrate and what we can

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Show

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with data is if you want to bring the success of Company A,

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you must bring the

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ecosystem Company A into Company B

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to make Company B successful.

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And then Company B is gonna react negatively

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to that,

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let's call it takeover of the culture,

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but unless that happens that successful executive will never succeed here.

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In the sports team,

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you see when you hire a great quarterback

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from Team A to Team B,

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all of a sudden he underperforms.

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You see the most recent case is Russell Wilson from the Seattle Seahawks

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to the Denver Broncos.

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Major failure,

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even after they gave him a $300 million

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contract.

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Major,

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major failure.

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Why?

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Because the condition that he had

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in Seattle

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could not be duplicated in the Broncos.

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And we can go through

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multiple examples of this.

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Corporations both internally and externally make huge mistakes,

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and the cases study of PepsiCo in North Latin America shows

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that it's not only bringing someone from the outside with the supporting system,

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but creating a team from the inside of successful people that can work together

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can accelerate great growth and development and success.

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So,

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it's very important when it comes to

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talent acquisition and leadership development that we

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keep these components in mind for success.

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Let's move to performance management.

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Performance management.

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It existed.

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It came from the military

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where they measure everything

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and

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The military

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is

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very,

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very particular as to how they measure their soldiers.

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When the military

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stopped

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looking at the facts,

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they started to have problems.

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So when industry adopted

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performance management system from the military,

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we didn't have the same discipline as the military had.

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So we have to make up for what that was.

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And any performance management system is divided in three parts,

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both settings.

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Follow-up

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and evaluation.

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To me,

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the most important component of performance

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management happens to be goal setting.

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If your goal setting is wrong,

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it doesn't matter how much you do.

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The evaluation will always be wrong and the results won't be there.

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If you focus 80% of your time on setting the right goals for the team,

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that the team understands everything and everyone,

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then you have a huge probability of success.

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You constantly follow up.

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In the case of sales,

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you follow up

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weekly,

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monthly,

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quarterly.

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Half a year and full year.

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In the case of other functions that are more strategic,

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you will do it

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at a later stage,

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but

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constant follow-up

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is critical so that the moment of evaluation is not a surprise for the

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employee and it's not a huge burden for the executive doing that way.

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A lot of the performing management systems in America and Europe and Asia fail

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because the managers and supervisors do not have time

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to write off at the end of the year

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what they didn't do

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through the year.

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If you're following through every month,

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every quarter,

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every 6 months,

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you have all the data,

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you only have to empty that data into the performance evaluation form

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and you have your performance review.

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It's be no surprise to the associate

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at the moment that you're sharing this data.

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It also takes the politics away and it also takes favoritism away.

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When you share the goals and everybody can see how performance is being driven,

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then you have

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true high performance in the team.

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Now,

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that all

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Comes back into the compensation and benefit pocket.

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So now we have the right talent.

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We have the right development actions,

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and we have evaluated them correctly.

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It comes to compensation.

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Compensation is an art

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and a science.

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The science comes from determining what the level of compensation should be.

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The art comes from how

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you're gonna manage a limited budget

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to reward high performers.

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In America,

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most compensation system,

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most performed management system operating in a 5 level or a 10 level.

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And when you look at it,

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everybody,

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it's simple for the managers to evaluate somebody in the middle level,

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a 3

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or a 6.

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But what that causes is it consumes the merry budget.

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There's no such thing as a merry budget.

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When inflation is 3%,

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your merry budget is

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3%.

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How can you be rewarding high performance if your merry budget is 3%?

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I'll give you the example of Microsoft.

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Microsoft was run by the numbers.

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Steve Ballmer,

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Bill Gates took you to math camp every time you went to them.

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So here,

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this is my first year at Microsoft.

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I come in

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at the end of the year.

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Uh,

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Microsoft ran from July to June.

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So I come in in October,

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we go through the

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next 7 months and it's the performance management time

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and we get our budget from the compensation department,

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X.

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I work for information work and a small business.

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We were the best performing entity in Microsoft.

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Our

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profitability was 90% plus.

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However,

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our performance review budget was exactly the same as

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that for every other division of the company.

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Which make absolutely no sense.

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So I ran the math and that's forcing Microsoft to have people

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who were otherwise good performers

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who have to be evaluated as bad performers so that you could move

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the money around and you could reach what legal wanted as a distribution

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uh

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to demonstrate equity.

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While this was huge employment

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relationship.

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because the people that were forced into

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the underperforming category who were not underperformers

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were really,

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really absolutely upset and pissed off,

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rightly so.

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So I took a look at this mess because it's a mathematical mess.

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I use a little bit.

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So what would happen if we didn't have to follow that?

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I know Microsoft,

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you have to,

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but what happened if we didn't have to?

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What would be the right thing to do?

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So what we did was

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I went to my boss Jeff Rays,

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the 10th employee in Microsoft,

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very good,

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and I asked him,

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we are the best performing

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division in Microsoft.

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I want

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1% point

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above the salary budget the corporate is giving us

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so that we can recognize our best performers.

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Jeff,

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being Jeff,

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he merely said yes,

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we are 90% margin,

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so who gave us shit,

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we had it,

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we got it,

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and we use this 1% of this massive salary budget to recognize the high performers.

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So with 1%,

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we're able to make people really,

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really happy

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and to remove the people that were on the,

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on the performing category that didn't have to be.

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Of

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this of course caused a huge legal issue

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because equity

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measures are getting a screwed up.

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But I was able to demonstrate how can you have the best

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performing division in the company having the same number of the performers

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as the worst division in the company.

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That is an absolute asinine concept of legal equity.

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Cannot be any equity in that logic.

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So now,

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I'm going with my family and a group of 34 people on a cruise to Alaska.

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I'm at the pier boarding the boat

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and I get a call from Steve Ballmer's office

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with my boss,

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Jeff Wrights

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and my human resources boss Kenny Petro.

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And they want me to explain to Steve what

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we're doing because no one else is doing this.

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And everyone they in this mega meeting of

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the top executive of Microsoft having this mega fight

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and they figured out that we have extra money.

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So they're attacking Steve because they have all for their

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population into the legal definition

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that Microsoft have for performance management

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and the absolute

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compensation budget.

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So Steve In the math with that he was or thought he was,

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and people say,

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OK,

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what do you do?

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It's very simple.

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We perform at the 90th percentile,

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so our

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compensation budget should also be at the 90th percentile,

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cannot be the average of the company which included on

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their performance division and so on and so forth.

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So instead of

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going all the way there,

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I asked for 1% point more

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of my salary budget

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so that I can recognize the good performers.

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By doing so,

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I was able

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to have the right distribution for a high performing division.

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We still have underperformance and we recognize them

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and we will deal with them and they

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right there you see who they are

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and we will manage them out of the company,

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which in Microsoft was said no,

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no,

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you didn't fire anybody,

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in particular minorities.

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But I said,

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we are going to

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put these people on a performance improvement plan and if they

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do not improve over the next 3 to 6 months,

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they're gonna be out of the company.

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And

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in order to do that,

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we have to recognize the great performance

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that the people from PowerPoint have had,

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the people from Office have had,

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the people from,

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uh,

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we manage all of Microsoft worldwide licensing and pricing.

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That team has generated over 300 million.

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Dollar in savings to Microsoft in the 1st 3 months,

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they have to be rewarded and recognized.

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So we need that money

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to really pay for performance,

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be a real Merry budget instead of a legal fiction

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of Merry budget.

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So Steve agreed.

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And he said,

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oh,

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that sounds good to me.

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Yeah,

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I approved.

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So they approved.

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All the other exe Microsoft ended up with what they came with,

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and they didn't have a chance.

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So

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as I board my boat,

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you know,

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my family's already on the boat.

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I'm still out on the pier.

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The boat is about to leave.

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I finished the call running.

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Uh,

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I come back after a week in Alaska

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and I hear what happened.

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The number

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2 executive of Microsoft,

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the guy who was running Windows,

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almost fired her.

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He's a Chinese person

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because she made him follow

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the legal definition and the budget

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for his people,

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and he had a.

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A bunch of piece of people in windows that had been

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made on their performance

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or had not been recognized for compensation.

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The same thing happened with games.

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The same thing happened in the other divisions.

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So they all wanted me to go

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and work with them

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to create this solution.

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I'm like,

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sure,

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you know,

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here it is.

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Jeff rakes.

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Whom I mentioned before was laughing and enjoying.

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We became within my first year,

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the most admired division of Microsoft.

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We were the most respectful division of the company.

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We basically couldn't have an opening because the moment we had an opening,

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we had hundreds of people both from the outside

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and applying because everybody wanted to work with us.

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As a result of this.

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And as a result of the fact that the

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human resources function on the staffing wasn't performing,

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Steve asked my boss if I could run a staffing for the

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whole of Microsoft since I could staff my division so well,

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can I do it for the whole of Microsoft?

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We immediately

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changed the model.

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Microsoft had

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At $71,700 million staffing budget.

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So I was put in charge of that and I'm like,

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wow,

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that's a lot of money,

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but

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I needed more.

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So I went to say remember,

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pay for performance to Steve and I said

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with the senior executive Microsoft in there,

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:

OK,

523

:

guys.

524

:

I'm $70 million but I need $7 million more

525

:

to execute what you want to execute,

526

:

and they,

527

:

of course,

528

:

like any company giving money to HR is a no

529

:

no incorporate America and in Europe and in Asia,

530

:

everywhere.

531

:

I said,

532

:

well,

533

:

it's very simple.

534

:

Here are the numbers.

535

:

The company filled 3400 jobs last year,

536

:

about 50% of them from within,

537

:

which means there's another 1700 jobs to be filled

538

:

that are not being filled that are percolating out there.

539

:

We currently have about 7000 job openings.

540

:

Many of these job openings have been open over a year.

541

:

So what's going on?

542

:

My data says that you guys are interviewing

543

:

11 candidates for every position you have.

544

:

And not only that.

545

:

You have 11 candidates and then the 11 interviewers must agree

546

:

on those 11 candidates to whom you're gonna make an offer.

547

:

By the time you decide whom,

548

:

assuming that you can decide whom,

549

:

that is known as 121.

550

:

Uh,

551

:

in the,

552

:

uh,

553

:

decision events,

554

:

100 per candidate.

555

:

So imagine we want to hire 7000 people.

556

:

There's not enough employees in Microsoft.

557

:

To execute this madness,

558

:

I mean,

559

:

you guys want to continue doing this.

560

:

I mean,

561

:

$7 million is not enough.

562

:

I would need like $700 million

563

:

and I would have to hire an army of people

564

:

so that we can go

565

:

with this model.

566

:

This model sucks and it's stupid

567

:

and it's dumb.

568

:

It is my commitment.

569

:

You're making me in charge of I'm recruiting for the other Microsoft globally.

570

:

This is what I'm gonna do.

571

:

I'm gonna create the metric and an algorithm.

572

:

I'm gonna give you guys

573

:

3 hireable candidates for every one of these 7000 job openings that you have.

574

:

In order to do that,

575

:

I need people from development,

576

:

project management,

577

:

and test to move into the human resources community to the staffing teams

578

:

so that we are actually able

579

:

To give you qualified talent

580

:

because right now,

581

:

here is the human resources model.

582

:

They keep bad talent out,

583

:

but they don't know what good talent is,

584

:

and I don't know who told them they knew what bad talent was,

585

:

but keeping people out and being on staffing is an oxymoron.

586

:

You're either staff

587

:

or you're guarding.

588

:

They are guarding.

589

:

That's why you're able to hire people.

590

:

So I look,

591

:

uh.

592

:

The current CEO Microsoft is uh

593

:

Nadela

594

:

Satia,

595

:

when we create the mobile devices that happened to be under us,

596

:

uh,

597

:

Bill Gate gave you $83 million and you have to hire 181 people.

598

:

How many have you hired?

599

:

3?

600

:

That's 2 years ago.

601

:

Satia,

602

:

you had

603

:

160 jobs open from 2 years ago.

604

:

I need you to go back and tell.

605

:

Me

606

:

which one of those you need if you really need 160 jobs,

607

:

and I also want them defined as of today,

608

:

not what it was 2 years ago because interviewing people for jobs that you

609

:

created 2 years ago have nothing to do with the job we do today.

610

:

So from now on,

611

:

everyone who has a job more than 60 days or 90 days open

612

:

has lost it.

613

:

You have to go back

614

:

and redefine those jobs

615

:

so that we can go and do that.

616

:

I'm gonna rebuild the staffing team,

617

:

which I did,

618

:

and I need you guys to qualify what in Microsoft was called as appropriate,

619

:

the people that will make the decision

620

:

who is as appropriates are,

621

:

and I'm gonna give you 3 candidates,

622

:

and

623

:

you're not gonna have 11 people in the real estate,

624

:

and then you're gonna have 3 people,

625

:

3 as appropriate.

626

:

In interview these candidates.

627

:

So now we're gonna go from 121 decision events

628

:

to 9 per candidate.

629

:

That is manageable.

630

:

That is something that your teams can do.

631

:

And if you don't have people capable of doing,

632

:

well,

633

:

we'll hire those people first and then we go through

634

:

with what you have.

635

:

So

636

:

Saia for you,

637

:

we will support you.

638

:

We will hire these 180 people

639

:

for you.

640

:

In the next 12 months,

641

:

but you need to prioritize which one they are,

642

:

and you need to give me the right jobs,

643

:

and it's the same thing for women it's the same thing for games,

644

:

it's the same thing for,

645

:

uh,

646

:

at the time we still have,

647

:

uh.

648

:

Today it's called Edge.

649

:

Back then it was called

650

:

Bing or whatever.

651

:

That was even before Bing

652

:

was had another,

653

:

had another name.

654

:

The,

655

:

uh,

656

:

the internet.

657

:

No,

658

:

no,

659

:

the internet for Microsoft,

660

:

the original internet name for Microsoft.

661

:

No,

662

:

no,

663

:

uh,

664

:

the website,

665

:

the one that you went with today's edge

666

:

was called

667

:

something but whatever.

668

:

So they were the same people.

669

:

So we will do this

670

:

and together we will fill out,

671

:

so that,

672

:

so we went from 130 400 people.

673

:

60% of which came from this side

674

:

to hiring 7000 people the following year

675

:

to hiring 15,000 people the year that I turn to hiring 30,000 people

676

:

the year after that globally for Microsoft.

677

:

I divided the staffing team into

678

:

executive staffing,

679

:

which is very small,

680

:

very

681

:

unique,

682

:

highly qualified elite team.

683

:

Uh,

684

:

the staffing group,

685

:

and I changed all their titles and the college team,

686

:

I changed all their titles.

687

:

So their title were Staffing consultant,

688

:

compensation consultant.

689

:

And a

690

:

relocation consultant or staffing coordinators.

691

:

So each team of 4

692

:

staffing people

693

:

had

694

:

a searcher

695

:

who was an internet guru.

696

:

This internet guru searched the world,

697

:

produced the candidates,

698

:

the staffing people who knew what to do,

699

:

interview these people and produced the 3 qualified candidates.

700

:

All of a sudden we had a database that was worth over $100 million

701

:

because all of those data points,

702

:

instead of having a million data points that

703

:

were qualified people that needed to be there.

704

:

So not only were we hiring

705

:

3 to 1,

706

:

but when other job came similar to that in another division,

707

:

they would go to the database and find 2456 qualified candidates.

708

:

They didn't even have to waste time trying to locate,

709

:

just extract

710

:

and go ahead.

711

:

So that's how come we went from 3400 higher to 7000 to 153,000 to 30,000.

712

:

That's how

713

:

you do staffing and that's how.

714

:

You manage HR

715

:

as a professional organization

716

:

that improved our employee relations and that

717

:

improved the engagement with our people.

718

:

Why the engagement?

719

:

Because

720

:

when you lie when you interview 11 people

721

:

and it so happened the one you have to buy it was the first of those 11.

722

:

So now you have gone by when you go back to that one person

723

:

of the 11 he's probably in his second job since he talked to you.

724

:

You're

725

:

talking to him,

726

:

man.

727

:

He's like,

728

:

what?

729

:

What are you talking about?

730

:

You know,

731

:

you lost that talent.

732

:

So by bringing the right talent on board quickly,

733

:

we were bringing people that wanted to do Microsoft,

734

:

who knew what the job was

735

:

and who were gonna succeed because we were hiring for that job

736

:

as opposed to hiring

737

:

today

738

:

for a job that did not exist,

739

:

which happened a lot.

740

:

I was confronted with the vice president,

741

:

very successful vice president hired from the movie industry

742

:

into the games

743

:

studio.

744

:

He was

745

:

a gem where he was hired.

746

:

But he came to Microsoft a year after the job was open.

747

:

When he got to Microsoft,

748

:

the job that he was hired for had disappeared.

749

:

So my professional coach of all my life was his coach,

750

:

called me to go and talk to him.

751

:

I went to talk to the guy

752

:

and the guy didn't know what to do.

753

:

Here is an ultra-successful guy

754

:

in the movie industry working in Microsoft Studios

755

:

for a job that doesn't exist.

756

:

The team that he was supposed to have does not exist.

757

:

What can he do?

758

:

I coached him and eventually he went back

759

:

to Los Angeles.

760

:

He went back to his career

761

:

and

762

:

with a minimum negative impact of Microsoft in his resume,

763

:

which otherwise would have been a total disaster.

764

:

Together with this is another example of poor

765

:

talent acquisitions.

766

:

We acquired

767

:

the head marketing guy from Adobe.

768

:

When he was interviewing that Luke of 11 before I got there,

769

:

Steve Ballmer didn't like him.

770

:

My boss,

771

:

Jeff Ranks did like him.

772

:

He hired him.

773

:

My first meeting with

774

:

Yes,

775

:

this gentleman,

776

:

Steve Ballman,

777

:

the rest of the team

778

:

was a painful experience.

779

:

It was obvious that Steve hated him.

780

:

So here I am at the restroom in Microsoft in the executive suite,

781

:

and there comes Steve Ballmer who

782

:

towers over me

783

:

and he's been right beside me and He started looking at me.

784

:

He said,

785

:

what do you think about this guy?

786

:

And I'm like,

787

:

oh my God,

788

:

what's

789

:

this guy doing?

790

:

He said,

791

:

Tell me the truth.

792

:

I think we should fire this guy.

793

:

And I said,

794

:

Why is Steve?

795

:

We just hired him.

796

:

He said,

797

:

I told Jeff not to hire him,

798

:

but Jeff hired him,

799

:

and he's not good.

800

:

I saw what he did,

801

:

it wasn't good.

802

:

You know,

803

:

Microsoft wasn't Adobe,

804

:

Adobe wasn't Microsoft.

805

:

He was never gonna be a Microsofty.

806

:

So I said,

807

:

OK,

808

:

I will talk to Jeff and we will do this.

809

:

I went to Jeff

810

:

after this.

811

:

And yet,

812

:

they want to fire the guy.

813

:

Now we are paying this guy a lot of money.

814

:

His wife was a professor at Stanford.

815

:

This is month 6 since the guy has been in the company.

816

:

Jeff insists that he's gonna make him successful.

817

:

So now

818

:

the wife has to come back to Stanford Claus the last 6 months,

819

:

and

820

:

they buy a house in Seattle.

821

:

Multi-million dollar house

822

:

in the intervening following 6 months.

823

:

So now we are at month 12.

824

:

Now Jeff is ready to fire this guy.

825

:

So now his wife doesn't have a job.

826

:

She's lost

827

:

and she's a tenure professor was professor at Stanford.

828

:

She's lost the job

829

:

and

830

:

the husband doesn't have a job when we fire him

831

:

and they have a multi-million dollar house in Seattle.

832

:

So I got this to Jeff.

833

:

I said,

834

:

Jeff,

835

:

you're a

836

:

part of the board of director of Stanford.

837

:

I need you to go back to Stanford,

838

:

make sure

839

:

that they hire this woman and they give back her tenure.

840

:

I really,

841

:

that cannot be done well.

842

:

I don't know.

843

:

This is your mistake.

844

:

You go back there and you solve this problem.

845

:

Jeff went back there and he solved the problem.

846

:

Now we have the problem with the husband.

847

:

So we meet with the husband.

848

:

Puma had been coaching.

849

:

I was telling him,

850

:

look,

851

:

you either leave or these guys are gonna make you leave

852

:

and You either live on your own with a job or they're gonna make you leave with no job.

853

:

So

854

:

I crafted a compensate a severance package for it.

855

:

Microsoft up to then gave no severance package to anybody.

856

:

Talking about 2001.

857

:

Microsoft had lost many lawsuits because of this practice,

858

:

but they are still not giving severance package to anyone.

859

:

So I grabbed multi-year severance package for this guy

860

:

so that he can leave Microsoft happily and be a good ambassador

861

:

to Microsoft and the wife be a good ambassador to Microsoft.

862

:

The severance package includes this relocation back to Palo Alto where

863

:

the wife is gonna go and work on this stuff.

864

:

It's gonna cost

865

:

as much as it costs us to bring them here.

866

:

It's gonna cost us to pay them back.

867

:

We buy the house that they pay for in Seattle at

868

:

the same place they pay so that they don't get a loss

869

:

plus multi-year service package.

870

:

Back then

871

:

they leave.

872

:

We promote from within,

873

:

uh,

874

:

a guy by the name of Chris Capocela,

875

:

extremely successful,

876

:

came from the credit management area,

877

:

became a hero inside of Microsoft,

878

:

and this is how you build

879

:

successful teams.

880

:

You don't hire the wrong people into a job.

881

:

You don't hire the wrong people into an executive job

882

:

because look at the cost.

883

:

This guy was in Microsoft 12 months,

884

:

and it cost the company equivalent of 6CR pay because

885

:

3 year pay to bring him in,

886

:

3-year pay to get him out

887

:

in 1 year plus the 1 year salary that he made.

888

:

So

889

:

1 executive because the company 7x

890

:

for a bad poor management decision.

891

:

So

892

:

my goal in life when it comes to er the employee relation and engagement is

893

:

you need to be close to your employees,

894

:

but you need to make sure you have the right employees in the right place

895

:

so that you can maximize their performance.

896

:

The degree of contribution and by end result,

897

:

their happiness and satisfaction.

898

:

Yeah,

899

:

so now all of these

900

:

guests in Microsoft,

901

:

there's a whole legal team.

902

:

Microsoft is a legal play.

903

:

If you remember,

904

:

Microsoft was created because

905

:

The father of Bill Gates is a very successful lawyer in CRM.

906

:

He worked for the best law firm in Seattle.

907

:

They craft the contract for IBM

908

:

that gave Microsoft,

909

:

I Bill,

910

:

the rise to the operating system

911

:

which they developed with IBM money.

912

:

When IBM

913

:

want to go and buy the operating system,

914

:

get their operating system and you know,

915

:

they couldn't because it belonged to Microsoft.

916

:

So now they have operating system in all

917

:

the desktop computers,

918

:

but they cannot get rid of Microsoft because Microsoft

919

:

is.

920

:

A perfect entity that was crafted by Bill

921

:

and his partner,

922

:

by Bill's father and his partner.

923

:

So ever since then,

924

:

Microsoft has a very strong legal team inside the company.

925

:

Among those legal team is a human resources legal team.

926

:

This is the legal team that ran the equity equations that

927

:

ran the fact that there shouldn't be any services of Microsoft.

928

:

So

929

:

they ran all these things.

930

:

No,

931

:

no,

932

:

no,

933

:

that was,

934

:

that was created inside Microsoft.

935

:

So no,

936

:

it's 5% of the contract that created the Microsoft.

937

:

His father didn't have anything to do inside of the company,

938

:

but because legal was so important,

939

:

you know,

940

:

Bill always had his own legal team Microsoft the

941

:

head legal hunch was he wanted to have.

942

:

Uh,

943

:

bang up HR team because Microsoft was the first company that was got

944

:

Microsoft hired contractors

945

:

developers.

946

:

For 6 months,

947

:

12 months,

948

:

3 years,

949

:

and then fire them,

950

:

and then fired so many of them that they created a class action lawsuit which went

951

:

on through the courts of the Supreme Court and the Supreme Court said time out.

952

:

They're all your employees,

953

:

you cannot,

954

:

they're not contractors.

955

:

In order to come to the contractor,

956

:

they must meet this requirement which is

957

:

if you hire an electrician,

958

:

the electrician has his tools,

959

:

whatever,

960

:

and you're not in the business of being An electrician,

961

:

if you hire a driver,

962

:

the driver brings a license,

963

:

brings a driver.

964

:

You're not in the business of transportation,

965

:

but you're in the business software development.

966

:

So you hire software developers and you keep them for 36 years in 6 month contract.

967

:

They're your employees.

968

:

I don't care what you call them,

969

:

they're your employees.

970

:

So because of this massive

971

:

transaction that they lost,

972

:

the legal thing inside Microsoft by Charlie and became very powerful

973

:

even though they lost.

974

:

Because

975

:

they lost,

976

:

they became even more powerful.

977

:

So,

978

:

so they,

979

:

they look at each other and management like hawks,

980

:

and I'm like,

981

:

so when they fired my first minority in Microsoft,

982

:

they immediately jump all over me.

983

:

You cannot do that.

984

:

And I'm like,

985

:

why not?

986

:

He's not performing.

987

:

He's a minority.

988

:

This little tiny box that we need for the records.

989

:

I might need it,

990

:

but he's not performing.

991

:

We cannot have non-performing.

992

:

It damaged the rest of the team.

993

:

What you gonna do that?

994

:

It's OK.

995

:

Let him sue me.

996

:

I am a minority.

997

:

I want him to sue me.

998

:

I manage him correctly.

999

:

I gave him a certain you want.

:

00:36:10,750 --> 00:36:11,429

I gave him a certain.

:

00:36:13,100 --> 00:36:13,120

I said,

:

00:36:13,129 --> 00:36:16,760

00,

:

00:36:17,139 --> 00:36:18,040

is that why you sue?

:

00:36:18,340 --> 00:36:20,320

There was a law firm in in Seattle

:

00:36:20,780 --> 00:36:22,780

that immediately you were talking to Microsoft.

:

00:36:23,030 --> 00:36:24,770

They went and they sue Microsoft,

:

00:36:24,820 --> 00:36:26,899

and Microsoft to give them the service like,

:

00:36:27,100 --> 00:36:27,540

so you,

:

00:36:27,780 --> 00:36:28,540

you don't get certified.

:

00:36:28,620 --> 00:36:28,969

You keep service.

:

00:36:29,594 --> 00:36:31,695

Like if you just don't give them at the right time,

:

00:36:31,844 --> 00:36:34,044

I end up costing you money and causing us to have it

:

00:36:35,705 --> 00:36:36,175

over broad and legal HR team

:

00:36:37,524 --> 00:36:38,334

if we have

:

00:36:39,334 --> 00:36:40,584

the right severance policy

:

00:36:40,735 --> 00:36:41,524

and we apply it,

:

00:36:41,594 --> 00:36:42,754

we don't have this shit,

:

00:36:42,995 --> 00:36:43,245

you know,

:

00:36:43,324 --> 00:36:45,544

we will succeed in car all the time.

:

00:36:45,965 --> 00:36:47,104

So this gentleman

:

00:36:47,594 --> 00:36:48,804

who was an American Indian,

:

00:36:48,885 --> 00:36:49,195

the only one the only one in the whole development

:

00:36:52,205 --> 00:36:52,385

team

:

00:36:52,925 --> 00:36:54,135

in my division,

:

00:36:54,445 --> 00:36:56,725

I terminated him because he wasn't performing.

:

00:36:57,689 --> 00:36:58,959

He went home happy

:

00:36:59,189 --> 00:37:00,669

and that was the end of the story.

:

00:37:01,889 --> 00:37:02,350

So,

:

00:37:03,629 --> 00:37:06,989

HR compliance is very much my last few months of Microsoft,

:

00:37:07,070 --> 00:37:08,899

we got an EEOC audit

:

00:37:09,389 --> 00:37:11,860

because of all these things that Microsoft has done through the years.

:

00:37:12,110 --> 00:37:12,709

The EEOC,

:

00:37:12,790 --> 00:37:16,010

the Employment Equal Employment Opportunity Commission came

:

00:37:16,429 --> 00:37:16,689

to.

:

00:37:17,820 --> 00:37:18,860

So here I am.

:

00:37:18,909 --> 00:37:21,750

I have to train Steve Ballmer to deal with this.

:

00:37:22,199 --> 00:37:24,649

So the EOC sends this person,

:

00:37:25,760 --> 00:37:26,889

it's a minority.

:

00:37:28,800 --> 00:37:31,300

To talk to Steve Goldman who speaks here

:

00:37:31,760 --> 00:37:32,979

and she's here,

:

00:37:33,320 --> 00:37:33,840

OK?

:

00:37:34,199 --> 00:37:37,219

So she's a social worker talking to the CEO of

:

00:37:37,219 --> 00:37:39,419

one of the most successful companies in the world.

:

00:37:39,879 --> 00:37:40,919

She asked him a question.

:

00:37:41,040 --> 00:37:41,879

He answers the question.

:

00:37:41,959 --> 00:37:43,459

She has no idea what he's saying.

:

00:37:43,959 --> 00:37:45,820

He has no idea what she's asking either.

:

00:37:46,159 --> 00:37:48,260

So I'm in this room with these two people.

:

00:37:48,560 --> 00:37:49,520

So I go out,

:

00:37:49,719 --> 00:37:50,899

take Steve out,

:

00:37:51,199 --> 00:37:52,159

surrounded by lawyers.

:

00:37:52,239 --> 00:37:52,719

Our lawyers,

:

00:37:52,840 --> 00:37:53,540

their lawyers,

:

00:37:53,909 --> 00:37:54,629

take Steve out and said,

:

00:37:54,729 --> 00:37:54,959

Steve,

:

00:37:55,040 --> 00:37:55,439

listen.

:

00:37:56,040 --> 00:37:57,250

I'm gonna answer the questions.

:

00:37:57,479 --> 00:37:58,840

You're just gonna shake your head,

:

00:37:58,919 --> 00:37:59,159

yes,

:

00:37:59,280 --> 00:37:59,719

no,

:

00:38:00,040 --> 00:38:02,179

I'm gonna get over this because

:

00:38:02,439 --> 00:38:03,620

you cannot

:

00:38:03,800 --> 00:38:06,979

answer any of these questions because I am gonna get

:

00:38:07,199 --> 00:38:08,860

fined or worse

:

00:38:09,209 --> 00:38:11,159

or you're gonna get fired or worse.

:

00:38:11,409 --> 00:38:12,679

So let me handle this.

:

00:38:12,879 --> 00:38:14,040

I go back into the room,

:

00:38:14,199 --> 00:38:15,100

sit with the lady.

:

00:38:15,739 --> 00:38:15,790

Say,

:

00:38:15,860 --> 00:38:16,100

OK,

:

00:38:16,260 --> 00:38:16,659

what is,

:

00:38:16,780 --> 00:38:17,689

what are your concerns,

:

00:38:17,699 --> 00:38:18,489

this and this and that.

:

00:38:18,500 --> 00:38:18,659

I said,

:

00:38:18,739 --> 00:38:19,129

OK,

:

00:38:19,370 --> 00:38:20,719

these are Microsoft commitments.

:

00:38:20,820 --> 00:38:20,979

This,

:

00:38:21,100 --> 00:38:21,570

this and this.

:

00:38:21,620 --> 00:38:22,570

This is what we're gonna do

:

00:38:23,159 --> 00:38:23,959

to address your concern.

:

00:38:24,780 --> 00:38:27,449

Thanks to my legal team that had all these metrics.

:

00:38:27,500 --> 00:38:29,020

I was able to demonstrate to them

:

00:38:29,340 --> 00:38:31,750

that we were OK according to the quotas,

:

00:38:32,090 --> 00:38:33,020

and I explained to her,

:

00:38:33,139 --> 00:38:34,379

which she couldn't understand it,

:

00:38:34,580 --> 00:38:36,469

why don't you hire more minorities in the

:

00:38:36,972 --> 00:38:37,202

OK,

:

00:38:37,322 --> 00:38:37,722

look,

:

00:38:38,002 --> 00:38:39,472

this is the industry 100.

:

00:38:39,792 --> 00:38:42,833

Microsoft hired 65% of that 100.

:

00:38:43,163 --> 00:38:45,802

Whether it's:

:

00:38:45,923 --> 00:38:48,232

we hire 65% of all of them

:

00:38:48,413 --> 00:38:49,403

into the company.

:

00:38:49,762 --> 00:38:57,282

or:

:

00:38:57,506 --> 00:38:57,666

Yeah,

:

00:38:57,785 --> 00:38:58,825

but here it is.

:

00:38:59,266 --> 00:39:00,345

Here at the metrics,

:

00:39:00,506 --> 00:39:00,956

oh yeah,

:

00:39:01,226 --> 00:39:02,986

that is called IT services.

:

00:39:03,105 --> 00:39:04,385

They're not software developers,

:

00:39:04,466 --> 00:39:05,785

they're not project managers,

:

00:39:05,825 --> 00:39:06,785

they're not testers.

:

00:39:07,065 --> 00:39:11,256

I cannot bring an IT person to software development into Microsoft because they,

:

00:39:11,426 --> 00:39:12,285

they will fail.

:

00:39:12,545 --> 00:39:13,585

They don't know what to do.

:

00:39:13,906 --> 00:39:15,845

So you guys need to review

:

00:39:16,226 --> 00:39:18,285

and modify your

:

00:39:18,889 --> 00:39:21,840

Definitions of what a software development person is

:

00:39:22,090 --> 00:39:25,290

and then come to Microsoft and tell us in the software development universe,

:

00:39:25,439 --> 00:39:26,010

there's

:

00:39:26,290 --> 00:39:28,610

3 minorities of which Microsoft has 2,

:

00:39:28,770 --> 00:39:30,469

65% of them,

:

00:39:30,919 --> 00:39:32,399

and we are compliant.

:

00:39:32,489 --> 00:39:34,330

You cannot say that we're not compliant when you're

:

00:39:34,330 --> 00:39:36,889

comparing apples to pears and pears to apples.

:

00:39:36,969 --> 00:39:37,350

So

:

00:39:37,739 --> 00:39:38,489

you need to go back,

:

00:39:38,610 --> 00:39:39,469

do your homework,

:

00:39:39,610 --> 00:39:42,370

and come back and we will demonstrate that we are

:

00:39:42,370 --> 00:39:44,590

at or better anything that you can think of.

:

00:39:46,189 --> 00:39:49,590

So that's an example of compliance and mismanagement

:

00:39:49,989 --> 00:39:53,330

because if we had found guilty like they were found guilty before,

:

00:39:53,550 --> 00:39:54,870

it would have been awful

:

00:39:55,270 --> 00:39:55,489

because,

:

00:39:55,590 --> 00:39:55,790

you know,

:

00:39:55,909 --> 00:39:59,689

we were being found guilty of a crime we didn't commit because it didn't exist.

:

00:39:59,989 --> 00:40:00,649

But

:

00:40:01,649 --> 00:40:03,270

because of the definitions

:

00:40:03,550 --> 00:40:05,149

that the government has,

:

00:40:05,510 --> 00:40:07,969

Microsoft was at fault.

:

00:40:08,550 --> 00:40:10,699

And when we demonstrated that the definition was wrong,

:

00:40:10,790 --> 00:40:12,310

that the definition needs to be changed,

:

00:40:12,449 --> 00:40:15,070

and Microsoft was compliant and very non compliant,

:

00:40:15,389 --> 00:40:16,120

they left us alone.

:

00:40:16,639 --> 00:40:17,629

We passed the audit.

:

00:40:17,830 --> 00:40:18,510

Steve was happy.

:

00:40:18,590 --> 00:40:19,310

He went home.

:

00:40:19,550 --> 00:40:20,129

I went home.

:

00:40:20,790 --> 00:40:21,669

Everybody was happy.

:

00:40:23,560 --> 00:40:23,570

OK,

:

00:40:23,989 --> 00:40:25,590

that's an example of compliance,

:

00:40:25,750 --> 00:40:26,790

risk management.

:

00:40:28,679 --> 00:40:29,939

I mean PepsiCo.

:

00:40:30,280 --> 00:40:31,899

PepsiCo decided

:

00:40:32,659 --> 00:40:33,320

in the,

:

00:40:33,479 --> 00:40:37,560

I was hiring PepsiCo in:

:

00:40:38,800 --> 00:40:43,139

In order to come and run operating companies in Latin America,

:

00:40:43,600 --> 00:40:45,479

the PepsiCo International

:

00:40:45,679 --> 00:40:48,830

division have been given $5 billion to acquire

:

00:40:49,120 --> 00:40:51,239

5 large bottlers around the world.

:

00:40:51,550 --> 00:40:54,330

Venezuelan bottler where PepsiCo had a 90% share,

:

00:40:54,600 --> 00:40:56,290

the Mexico City bottle were

:

00:40:56,699 --> 00:40:58,600

PepsiCola had 40% share.

:

00:40:59,060 --> 00:40:59,629

Uh,

:

00:40:59,860 --> 00:41:00,639

the

:

00:41:00,840 --> 00:41:04,080

Thailand bottle of PepsiCo had 70% share

:

00:41:04,419 --> 00:41:06,459

and a couple of bottlers in the Middle East.

:

00:41:06,850 --> 00:41:07,620

5 bottlers,

:

00:41:07,689 --> 00:41:08,879

$5 billion.

:

00:41:09,780 --> 00:41:12,909

That's what I was hiring Microsoft to run into Pepsico,

:

00:41:13,020 --> 00:41:14,370

to go and run the Venezuelan operation.

:

00:41:15,429 --> 00:41:17,010

I come to PepsiCo.

:

00:41:17,709 --> 00:41:19,629

After I go through all the process,

:

00:41:19,909 --> 00:41:21,090

the first thing is

:

00:41:21,949 --> 00:41:25,310

they make an offer to Venezuelan bottler who doesn't accept

:

00:41:25,899 --> 00:41:26,830

because in Pepsico,

:

00:41:26,870 --> 00:41:30,729

there was a business development executive who was from England,

:

00:41:31,159 --> 00:41:32,300

who made an offer

:

00:41:32,679 --> 00:41:36,090

that was abhorrent and offensive to the

:

00:41:36,469 --> 00:41:38,709

bottler in Venezuela who was from Cuba,

:

00:41:38,750 --> 00:41:41,310

who had developed the Pepsico business in Venezuela.

:

00:41:42,010 --> 00:41:42,250

Uh,

:

00:41:42,330 --> 00:41:45,290

who was worth over a billion dollars that we had to pay for,

:

00:41:45,409 --> 00:41:47,649

but he decided to offer him $450 million.

:

00:41:47,949 --> 00:41:49,030

So the guy said no.

:

00:41:49,449 --> 00:41:52,070

So this started a 12-month fight

:

00:41:52,260 --> 00:41:53,389

with this butler

:

00:41:53,530 --> 00:41:55,389

that resulted in

:

00:41:55,649 --> 00:41:59,070

this butler selling his operations to Cobola company.

:

00:41:59,449 --> 00:41:59,949

Now,

:

00:42:00,379 --> 00:42:04,179

my cousin was married to an executive of this butler,

:

00:42:04,449 --> 00:42:05,979

and one day I'm in

:

00:42:06,610 --> 00:42:06,760

Boca.

:

00:42:06,889 --> 00:42:07,000

Uh,

:

00:42:07,050 --> 00:42:09,159

and I got a call from this guy telling me,

:

00:42:09,800 --> 00:42:09,850

look at me,

:

00:42:10,010 --> 00:42:10,810

I don't know what's happening,

:

00:42:10,850 --> 00:42:12,989

but everything here is being painted red.

:

00:42:13,719 --> 00:42:13,939

And what?

:

00:42:14,580 --> 00:42:14,679

Yeah,

:

00:42:15,000 --> 00:42:15,360

painted red,

:

00:42:15,409 --> 00:42:16,060

the trucks,

:

00:42:16,159 --> 00:42:16,879

the walls,

:

00:42:16,889 --> 00:42:17,469

and whatever.

:

00:42:17,699 --> 00:42:18,709

So I go

:

00:42:19,129 --> 00:42:20,770

to the president of the division and said,

:

00:42:20,979 --> 00:42:21,010

look,

:

00:42:21,120 --> 00:42:23,169

we have a serious problem in Venezuela.

:

00:42:23,479 --> 00:42:24,550

This is happening.

:

00:42:24,969 --> 00:42:26,110

I called the

:

00:42:26,449 --> 00:42:26,919

uh

:

00:42:27,129 --> 00:42:29,540

franchise vice president in Minnesota him,

:

00:42:30,090 --> 00:42:30,120

no,

:

00:42:30,250 --> 00:42:30,330

no,

:

00:42:30,449 --> 00:42:30,530

no,

:

00:42:30,610 --> 00:42:31,169

it's not true.

:

00:42:31,209 --> 00:42:31,840

That's a rumor.

:

00:42:32,090 --> 00:42:32,139

I said,

:

00:42:32,239 --> 00:42:32,290

no,

:

00:42:32,409 --> 00:42:32,969

it's not rumor.

:

00:42:33,010 --> 00:42:34,550

This guy works in there and he

:

00:42:35,629 --> 00:42:37,649

We were the last people allowed to want

:

00:42:37,649 --> 00:42:41,020

to talk to the Venezuelan butlers Barto Cisneros.

:

00:42:41,870 --> 00:42:42,149

My,

:

00:42:42,270 --> 00:42:43,030

my team and I,

:

00:42:43,149 --> 00:42:45,729

because we were running a training seminar for them,

:

00:42:46,070 --> 00:42:46,790

and we met.

:

00:42:47,909 --> 00:42:49,090

In Caracas

:

00:42:49,510 --> 00:42:50,229

and

:

00:42:50,669 --> 00:42:52,669

he wouldn't allow anybody else from Mexico to

:

00:42:52,669 --> 00:42:54,770

get into because they're doing all these things.

:

00:42:57,110 --> 00:42:57,810

So

:

00:42:58,570 --> 00:43:00,800

as the hours move,

:

00:43:01,110 --> 00:43:02,840

the franchise manager

:

00:43:03,469 --> 00:43:07,760

decides to put a poison pill and increases the concentrate price in Venezuela.

:

00:43:09,449 --> 00:43:12,270

So in case that the transaction happened,

:

00:43:12,449 --> 00:43:17,629

they're gonna have to pay us $150 million extra for the price of the company.

:

00:43:19,560 --> 00:43:20,830

The transaction happened.

:

00:43:21,199 --> 00:43:23,280

Coca-cola paid the butler $1 billion

:

00:43:23,399 --> 00:43:26,080

not only $1 billion they pay him $1 billion in Panama,

:

00:43:26,159 --> 00:43:27,810

which he didn't have to pay taxes for.

:

00:43:28,000 --> 00:43:33,020

Cocola paid $150 million penalty for the concentrate price increase.

:

00:43:33,580 --> 00:43:35,830

And we lost the market overnight.

:

00:43:37,020 --> 00:43:39,780

We went from 90+% share to 0

:

00:43:40,139 --> 00:43:41,100

in Venezuela

:

00:43:41,340 --> 00:43:42,159

overnight because

:

00:43:43,780 --> 00:43:44,280

of

:

00:43:44,419 --> 00:43:46,669

the business development guy being an ass,

:

00:43:46,899 --> 00:43:48,979

making an absurd offer

:

00:43:49,179 --> 00:43:53,600

and my franchise manager being an ass thinking that it will not happen.

:

00:43:54,540 --> 00:43:55,280

So now,

:

00:43:56,070 --> 00:43:57,149

That's my first year in Pepsi.

:

00:43:57,270 --> 00:43:59,090

This is the business I'm supposed to be running.

:

00:44:01,149 --> 00:44:01,260

So now,

:

00:44:01,290 --> 00:44:01,300

so,

:

00:44:01,320 --> 00:44:01,739

OK,

:

00:44:02,110 --> 00:44:03,790

so PepsiCo is not happy with this.

:

00:44:03,909 --> 00:44:04,629

So they decide,

:

00:44:04,750 --> 00:44:04,870

well,

:

00:44:04,919 --> 00:44:06,169

we need to buy all these other reasons.

:

00:44:06,389 --> 00:44:06,540

Well,

:

00:44:06,620 --> 00:44:07,340

with this story,

:

00:44:07,459 --> 00:44:09,030

nobody wants to sell to Pepsico.

:

00:44:09,310 --> 00:44:12,860

So Pepsico decides to create a joint venture with all these entities.

:

00:44:13,270 --> 00:44:14,889

So it creates a joint venture

:

00:44:15,389 --> 00:44:17,429

for with the bottle in Puerto Rico.

:

00:44:17,469 --> 00:44:18,810

It's very successful.

:

00:44:20,350 --> 00:44:21,850

To run Brazil.

:

00:44:22,370 --> 00:44:22,530

Very,

:

00:44:22,610 --> 00:44:24,629

very successful operator.

:

00:44:25,129 --> 00:44:25,870

Uh,

:

00:44:26,050 --> 00:44:26,649

he's gonna,

:

00:44:26,889 --> 00:44:28,439

he buys and he's gonna run Brazil.

:

00:44:28,520 --> 00:44:29,060

We give him

:

00:44:30,330 --> 00:44:31,030

over

:

00:44:31,770 --> 00:44:32,939

a billion dollars

:

00:44:33,129 --> 00:44:33,850

to run Brazil.

:

00:44:34,070 --> 00:44:34,790

Huge operation,

:

00:44:35,810 --> 00:44:37,129

huge blizzard team,

:

00:44:37,370 --> 00:44:38,429

huge attack,

:

00:44:38,889 --> 00:44:41,370

$1 billion to build manufacturing facilities,

:

00:44:41,409 --> 00:44:42,169

to buy glass,

:

00:44:42,250 --> 00:44:43,310

to all of these things.

:

00:44:44,879 --> 00:44:46,389

So within 12 months,

:

00:44:46,399 --> 00:44:47,500

I get a phone call.

:

00:44:48,979 --> 00:44:49,360

From

:

00:44:49,899 --> 00:44:52,590

my HR guy who is in the joint venture.

:

00:44:53,060 --> 00:44:54,020

He tells me,

:

00:44:54,379 --> 00:44:54,580

look,

:

00:44:54,699 --> 00:44:56,340

there's a person who wants to talk to you.

:

00:44:56,459 --> 00:44:57,610

We used to be the,

:

00:44:57,699 --> 00:45:01,300

the planning guy in the franchise company when we

:

00:45:01,300 --> 00:45:03,179

were in Brazil before we moved to Boca.

:

00:45:03,739 --> 00:45:04,979

His name is Lucas.

:

00:45:05,189 --> 00:45:08,100

Lucas would like to talk to you because there's something he needs to discuss.

:

00:45:08,149 --> 00:45:10,239

He can only discuss it with you and he wants to talk to you,

:

00:45:10,669 --> 00:45:12,669

but he cannot talk to you from the office.

:

00:45:13,070 --> 00:45:13,300

What?

:

00:45:13,830 --> 00:45:13,949

No,

:

00:45:13,989 --> 00:45:15,860

he needs to go to a public phone to talk to you.

:

00:45:15,909 --> 00:45:16,100

I'm like,

:

00:45:16,149 --> 00:45:17,629

what the heck is going on down there?

:

00:45:18,149 --> 00:45:21,489

So here is Lucas calling me from a public phone in Sao Paulo.

:

00:45:22,679 --> 00:45:22,739

Thank you for telling me

:

00:45:23,879 --> 00:45:23,919

a video.

:

00:45:25,040 --> 00:45:26,129

This is really wrong.

:

00:45:26,449 --> 00:45:28,649

There's all kinds of fraud happening here.

:

00:45:28,969 --> 00:45:31,889

They're stealing the money that this $1 billion that we got.

:

00:45:32,050 --> 00:45:33,310

They're stealing this money.

:

00:45:33,570 --> 00:45:35,429

They're not doing what they said they're gonna do.

:

00:45:36,510 --> 00:45:37,270

It's mess.

:

00:45:37,840 --> 00:45:38,689

Buy my mask.

:

00:45:38,729 --> 00:45:42,419

They were stolen $450 million of the $1 billion

:

00:45:44,209 --> 00:45:44,250

and I was like,

:

00:45:44,260 --> 00:45:44,729

OK.

:

00:45:45,429 --> 00:45:45,969

So,

:

00:45:46,189 --> 00:45:48,989

I've been in PepsiCo for 2 years and I'm friends

:

00:45:49,449 --> 00:45:50,510

with a guy that happened,

:

00:45:50,629 --> 00:45:54,479

that have been promoted to the CFO of PepsiCola International.

:

00:45:54,790 --> 00:45:56,030

He was an Argentinian.

:

00:45:56,850 --> 00:45:59,459

Who was in the PepsiCola division here when I joined

:

00:46:00,179 --> 00:46:00,550

and

:

00:46:01,610 --> 00:46:03,189

the CFO

:

00:46:03,570 --> 00:46:05,030

for PepsiCola in America

:

00:46:05,989 --> 00:46:07,909

who replaced him is a guy from the Dominican Republic.

:

00:46:09,449 --> 00:46:11,850

So I call Osvaldo,

:

00:46:11,929 --> 00:46:14,659

who's the CFO of Personnel International in New York,

:

00:46:14,689 --> 00:46:15,139

and I tell him,

:

00:46:15,689 --> 00:46:16,409

Osvaldo,

:

00:46:16,610 --> 00:46:16,889

I,

:

00:46:17,169 --> 00:46:20,590

it's a very sensitive topic I need to discuss with you as a friend.

:

00:46:21,290 --> 00:46:22,639

I don't want this to go anywhere,

:

00:46:22,770 --> 00:46:24,080

so I explained to him what's happening.

:

00:46:24,159 --> 00:46:24,169

So,

:

00:46:25,889 --> 00:46:25,919

as a friend,

:

00:46:25,929 --> 00:46:26,399

I will tell you,

:

00:46:26,409 --> 00:46:27,610

I'm the CEO of the company.

:

00:46:27,729 --> 00:46:28,830

I cannot

:

00:46:29,129 --> 00:46:29,979

not do songs.

:

00:46:30,290 --> 00:46:31,050

But at the same time,

:

00:46:31,090 --> 00:46:33,719

I tell you that if I send a complete audit team there,

:

00:46:33,770 --> 00:46:37,010

we're gonna find this $450 million anywhere

:

00:46:37,820 --> 00:46:38,270

because

:

00:46:38,409 --> 00:46:39,949

that's the nature of fraud.

:

00:46:40,120 --> 00:46:41,870

Unless they tell us where it went,

:

00:46:42,090 --> 00:46:43,449

we will never know where it went.

:

00:46:45,070 --> 00:46:45,310

I said,

:

00:46:45,429 --> 00:46:45,790

oh well,

:

00:46:45,949 --> 00:46:46,030

OK,

:

00:46:46,120 --> 00:46:46,659

that's a,

:

00:46:46,830 --> 00:46:47,350

that's some

:

00:46:47,830 --> 00:46:48,270

big do,

:

00:46:48,870 --> 00:46:50,739

but Lucas is concerned they're gonna kill him but

:

00:46:51,429 --> 00:46:53,010

now he was the one who told me.

:

00:46:53,510 --> 00:46:54,250

So

:

00:46:54,469 --> 00:46:56,070

we moved Lucas to Boca

:

00:46:57,310 --> 00:46:57,939

and

:

00:46:59,360 --> 00:47:01,219

We decide that we,

:

00:47:01,399 --> 00:47:05,040

with New York that we're gonna intervene a company here.

:

00:47:05,520 --> 00:47:05,929

The

:

00:47:06,850 --> 00:47:06,860

German,

:

00:47:07,040 --> 00:47:08,780

the regional.

:

00:47:10,419 --> 00:47:11,949

President of Pepsi International has now been promoted to

:

00:47:11,949 --> 00:47:14,270

be the president of Pepsi International Latin America,

:

00:47:14,590 --> 00:47:14,949

Europe,

:

00:47:15,229 --> 00:47:16,149

and Asia.

:

00:47:16,879 --> 00:47:18,040

He was the guy who hired me.

:

00:47:18,120 --> 00:47:19,179

He's in New York.

:

00:47:19,679 --> 00:47:21,500

So with this big mess,

:

00:47:22,080 --> 00:47:25,699

PepsiCola in his infinite wisdom decide that he's the guy

:

00:47:26,080 --> 00:47:30,379

that they're gonna send to run this young venture that we just lost the $450 million.

:

00:47:31,080 --> 00:47:32,239

Now this guy is a franchise guy.

:

00:47:32,310 --> 00:47:33,000

He's a marketing guy.

:

00:47:33,070 --> 00:47:35,139

He's a fantastic idea guy.

:

00:47:35,760 --> 00:47:37,320

They send him to Brazil.

:

00:47:38,280 --> 00:47:39,219

Thanks to this guy,

:

00:47:39,800 --> 00:47:42,389

PepsiCo International Latin America is the best performing

:

00:47:42,389 --> 00:47:44,659

division in the whole of Pepsico worldwide.

:

00:47:45,260 --> 00:47:49,139

So now we have this huge hall of $450 that's.

:

00:47:50,030 --> 00:47:52,449

And this guy is sent to Brazil.

:

00:47:53,760 --> 00:47:55,439

So I'm here in Boca

:

00:47:55,760 --> 00:47:57,159

as the VP of HR.

:

00:47:57,780 --> 00:47:58,659

It's in Brazil.

:

00:48:00,090 --> 00:48:01,989

I go down with him to Brazil

:

00:48:02,409 --> 00:48:03,810

and these guys have

:

00:48:04,209 --> 00:48:06,330

all the KPIs you can think of.

:

00:48:06,409 --> 00:48:07,389

It was like a

:

00:48:07,810 --> 00:48:09,310

phone book of KPIs.

:

00:48:09,889 --> 00:48:10,449

OK,

:

00:48:10,850 --> 00:48:11,399

fine.

:

00:48:11,850 --> 00:48:13,449

So we sit down.

:

00:48:14,070 --> 00:48:16,989

And we started to see where the money went and whatever,

:

00:48:17,070 --> 00:48:17,439

whatever.

:

00:48:18,229 --> 00:48:18,479

Well,

:

00:48:18,590 --> 00:48:20,070

it so happened that

:

00:48:20,870 --> 00:48:22,449

when they did the bleeds,

:

00:48:22,550 --> 00:48:22,870

I,

:

00:48:22,949 --> 00:48:24,649

they took over the market,

:

00:48:25,070 --> 00:48:25,899

they bought

:

00:48:26,429 --> 00:48:27,860

endless number of coolers.

:

00:48:27,949 --> 00:48:29,550

Each cooler is $:

:

00:48:29,629 --> 00:48:31,459

They bought endless number of trucks,

:

00:48:31,469 --> 00:48:33,310

each truck is $55,000.

:

00:48:34,340 --> 00:48:35,580

To attack the market.

:

00:48:36,100 --> 00:48:37,239

So they will go

:

00:48:37,449 --> 00:48:40,219

to the market and place a cooler here and start for a cooler there,

:

00:48:40,570 --> 00:48:43,580

a cooler at the put it at home for a good school place.

:

00:48:44,260 --> 00:48:45,270

There were no records.

:

00:48:45,770 --> 00:48:46,919

This company had all API.

:

00:48:47,020 --> 00:48:49,100

There were no records of where these assets were.

:

00:48:49,500 --> 00:48:52,179

That's how the $450 million disappeared.

:

00:48:52,620 --> 00:48:55,409

There were no records of where all these assets have gone.

:

00:48:55,939 --> 00:48:56,620

The trucks,

:

00:48:56,739 --> 00:48:58,149

they will come back to the plant,

:

00:48:58,219 --> 00:48:59,500

so we knew where they were.

:

00:49:00,010 --> 00:49:01,649

The glass was everywhere,

:

00:49:02,129 --> 00:49:02,610

but

:

00:49:02,929 --> 00:49:05,649

the manufacturing facility was the largest in the world.

:

00:49:05,919 --> 00:49:06,419

It never had

:

00:49:06,600 --> 00:49:08,550

had 5 lines that could produce

:

00:49:09,050 --> 00:49:12,959

all the soft drinks you would drink in not only Brazil but several countries.

:

00:49:13,300 --> 00:49:15,929

It never ran more than one of those 2 lines at a

:

00:49:15,929 --> 00:49:18,510

time because they wouldn't run because there was not enough power.

:

00:49:21,850 --> 00:49:22,389

So

:

00:49:22,729 --> 00:49:23,550

I'm here

:

00:49:23,729 --> 00:49:24,570

with this mess.

:

00:49:25,750 --> 00:49:26,590

This guy

:

00:49:27,129 --> 00:49:28,750

who is a great

:

00:49:29,290 --> 00:49:31,229

idea guy but not an operator.

:

00:49:33,860 --> 00:49:34,459

So,

:

00:49:35,100 --> 00:49:36,010

uh

:

00:49:38,139 --> 00:49:40,939

The best division of PepsiCo starts to underperform

:

00:49:40,939 --> 00:49:44,500

because how can you overcome $450 million of losses

:

00:49:45,899 --> 00:49:48,370

and all of a sudden this starts to

:

00:49:48,370 --> 00:49:51,040

be spread all through the Pepsi International world

:

00:49:52,100 --> 00:49:54,919

and we create a task force of 16 people

:

00:49:55,540 --> 00:49:58,860

to tackle these compliance and risk problems.

:

00:50:00,379 --> 00:50:02,780

I am one of the 16 people that is

:

00:50:03,419 --> 00:50:05,439

selected for this project

:

00:50:05,860 --> 00:50:06,929

and I run

:

00:50:07,699 --> 00:50:09,820

this project together with an Accenture person.

:

00:50:09,899 --> 00:50:10,520

That's my

:

00:50:11,169 --> 00:50:13,169

experience working with Accenture starts here.

:

00:50:13,780 --> 00:50:14,250

OK.

:

00:50:14,620 --> 00:50:16,360

So we created.

:

00:50:17,600 --> 00:50:18,870

I'm in Spain now.

:

00:50:19,000 --> 00:50:19,159

Yeah.

:

00:50:19,360 --> 00:50:22,100

All these Latin American thing has been solved.

:

00:50:22,520 --> 00:50:23,729

I'm in Spain.

:

00:50:25,790 --> 00:50:26,030

Uh,

:

00:50:26,139 --> 00:50:28,719

as a result of what I did in Latin America and all the

:

00:50:28,719 --> 00:50:31,429

work that we need to organize the company with all these losses,

:

00:50:31,469 --> 00:50:32,909

we have to organize the company,

:

00:50:33,310 --> 00:50:34,449

fire a lot of people.

:

00:50:34,909 --> 00:50:35,270

Uh,

:

00:50:35,389 --> 00:50:38,919

I ended up being as the head of HR for Spain,

:

00:50:39,989 --> 00:50:41,419

where we had to fire the most people,

:

00:50:41,629 --> 00:50:43,219

fired:

:

00:50:44,469 --> 00:50:46,050

in a country where you cannot fight anyone,

:

00:50:46,310 --> 00:50:48,110

it's not a risk and compliance.

:

00:50:48,629 --> 00:50:49,340

In Spain,

:

00:50:49,449 --> 00:50:51,149

the other country that's right to your job,

:

00:50:51,229 --> 00:50:52,370

you cannot be fired.

:

00:50:53,560 --> 00:50:54,699

Until I get there

:

00:50:55,000 --> 00:50:55,919

and then you're fine.

:

00:50:57,320 --> 00:50:58,360

You're 7,

:

00:50:58,560 --> 00:50:59,080

OK.

:

00:50:59,489 --> 00:50:59,879

Uh,

:

00:51:00,239 --> 00:51:00,899

so

:

00:51:01,360 --> 00:51:02,600

as a result of that,

:

00:51:02,840 --> 00:51:07,459

Spain went from having lost $50 million in the year before I got there

:

00:51:07,719 --> 00:51:10,179

to making $50 million the year I was there.

:

00:51:11,860 --> 00:51:13,760

So New York brings me back and say,

:

00:51:13,840 --> 00:51:14,120

OK,

:

00:51:14,199 --> 00:51:15,879

well since you did that,

:

00:51:16,360 --> 00:51:19,199

we believe you need to help us.

:

00:51:19,739 --> 00:51:20,290

Fix

:

00:51:20,520 --> 00:51:21,520

the rest of the world,

:

00:51:22,090 --> 00:51:22,489

OK?

:

00:51:23,370 --> 00:51:24,479

And we have a plan,

:

00:51:24,850 --> 00:51:25,219

and

:

00:51:25,449 --> 00:51:27,969

you're gonna meet with the two guys that have this plan,

:

00:51:28,050 --> 00:51:30,669

the head of sales for Pepsico International

:

00:51:30,969 --> 00:51:32,010

and the CFO,

:

00:51:32,929 --> 00:51:33,810

the

:

00:51:34,669 --> 00:51:35,010

new,

:

00:51:35,209 --> 00:51:35,560

it was,

:

00:51:35,649 --> 00:51:38,209

it was the finance director for Pepsico International.

:

00:51:38,610 --> 00:51:41,060

The two of them are gonna tell you our plan,

:

00:51:41,370 --> 00:51:42,449

and the two of you,

:

00:51:42,570 --> 00:51:45,530

the Accenture lady and you need to tell us how we're gonna implement that.

:

00:51:45,989 --> 00:51:46,929

So we get in the meeting.

:

00:51:47,010 --> 00:51:48,060

I come from Madrid.

:

00:51:48,709 --> 00:51:49,370

Go to sleep.

:

00:51:49,610 --> 00:51:50,510

Go to this meeting

:

00:51:51,090 --> 00:51:51,750

and

:

00:51:52,120 --> 00:51:54,760

half days these guys explained to me what they're about to do.

:

00:51:55,820 --> 00:51:56,399

Their plans,

:

00:51:56,639 --> 00:51:59,229

remember when we increase the price of concentrate in Venezuela.

:

00:51:59,290 --> 00:52:01,449

The plan is to increase the price of concentrate

:

00:52:01,449 --> 00:52:04,270

around the world to every bottle around the world

:

00:52:04,810 --> 00:52:06,209

and make a lot of money.

:

00:52:08,350 --> 00:52:08,360

To

:

00:52:09,110 --> 00:52:10,350

address the $450 million.

:

00:52:11,709 --> 00:52:12,229

OK,

:

00:52:12,550 --> 00:52:13,550

that's interesting.

:

00:52:14,010 --> 00:52:14,020

OK,

:

00:52:14,070 --> 00:52:15,469

but do you understand that

:

00:52:16,830 --> 00:52:18,669

the rest of the world is not like the US?

:

00:52:18,949 --> 00:52:20,050

You cannot because

:

00:52:20,550 --> 00:52:21,189

you want to.

:

00:52:21,350 --> 00:52:22,709

There are contracts that have been signed,

:

00:52:22,750 --> 00:52:23,820

the lifetime contract.

:

00:52:23,870 --> 00:52:25,510

You can go go and sell your blow.

:

00:52:25,830 --> 00:52:28,810

I'm gonna increase your concentrate price by 100% tomorrow.

:

00:52:29,699 --> 00:52:31,699

And you cannot expect your blog to say yes,

:

00:52:31,790 --> 00:52:33,790

you're gonna sign here and move on.

:

00:52:34,070 --> 00:52:35,040

You're gonna say no

:

00:52:35,270 --> 00:52:36,770

and then you're gonna go to

:

00:52:37,370 --> 00:52:39,310

Tom Dick and Harrison and I'm gonna tell you the

:

00:52:39,310 --> 00:52:41,060

same thing and now you're gonna have a lawsuit here,

:

00:52:41,149 --> 00:52:41,330

lawsu there.

:

00:52:42,510 --> 00:52:43,790

We're in 180 countries.

:

00:52:43,830 --> 00:52:46,129

You're gonna have 180 country lawsuits.

:

00:52:46,870 --> 00:52:47,189

How

:

00:52:47,389 --> 00:52:49,629

does this help us solve the problem?

:

00:52:50,399 --> 00:52:51,239

And by the way,

:

00:52:51,399 --> 00:52:52,399

based on your numbers,

:

00:52:52,639 --> 00:52:53,500

we are already.

:

00:52:54,649 --> 00:52:57,689

The lion's share of the profit of the system comes to the,

:

00:52:57,889 --> 00:52:59,239

to the franchise company,

:

00:52:59,530 --> 00:53:00,350

the lion's share.

:

00:53:00,760 --> 00:53:03,989

So we sold $14 billion and we made

:

00:53:05,370 --> 00:53:05,379

Then

:

00:53:06,310 --> 00:53:08,580

80% of that came to Pepsico

:

00:53:08,770 --> 00:53:10,949

and the rest went to all these bottles and then the world.

:

00:53:12,050 --> 00:53:14,250

So it was an 80/20 distribution.

:

00:53:14,570 --> 00:53:15,229

They said,

:

00:53:15,959 --> 00:53:17,550

and you're gonna tell these guys

:

00:53:17,850 --> 00:53:21,929

that are spending billions of dollars making 4%,

:

00:53:22,169 --> 00:53:24,649

a great bottler makes 8% of their investment.

:

00:53:25,689 --> 00:53:27,699

PepsiCo makes 80%

:

00:53:28,689 --> 00:53:31,290

and then they're gonna increase their prices instead of making 8%,

:

00:53:31,330 --> 00:53:32,429

they're gonna make 2%,

:

00:53:32,600 --> 00:53:33,570

and they're all gonna be happy.

:

00:53:35,129 --> 00:53:36,060

And us making 80%,

:

00:53:36,129 --> 00:53:37,379

we're gonna make 88%.

:

00:53:37,659 --> 00:53:38,389

I'm just not gonna fight.

:

00:53:40,040 --> 00:53:41,739

So I go with the Accenture lady.

:

00:53:42,520 --> 00:53:43,479

We look at this and said

:

00:53:44,629 --> 00:53:45,159

bullshit.

:

00:53:45,199 --> 00:53:46,300

That's not gonna work.

:

00:53:46,820 --> 00:53:48,459

So we crashed the program

:

00:53:49,360 --> 00:53:51,399

that is called Princess University

:

00:53:52,000 --> 00:53:52,699

for

:

00:53:53,500 --> 00:53:54,760

The company

:

00:53:54,979 --> 00:53:59,100

instead of going out there and increasing the price of concentrate to everybody,

:

00:53:59,580 --> 00:54:01,770

going out there and telling people,

:

00:54:02,020 --> 00:54:03,620

we want to make this better,

:

00:54:03,739 --> 00:54:05,199

we want to share

:

00:54:05,379 --> 00:54:07,120

our profit with you

:

00:54:07,300 --> 00:54:09,870

as long as you do these things for us.

:

00:54:11,370 --> 00:54:14,790

The way that a franchise business works is to pick up for marketing dollars.

:

00:54:16,850 --> 00:54:18,600

Marketing dollars PepsiCo,

:

00:54:18,649 --> 00:54:19,629

the franchise company,

:

00:54:19,689 --> 00:54:21,389

gets from the price of concentrate within the

:

00:54:22,139 --> 00:54:25,129

and the bottler from their operation with the other 50%.

:

00:54:25,729 --> 00:54:28,149

So that makes a multi-billion dollar fund.

:

00:54:28,610 --> 00:54:29,000

OK.

:

00:54:29,770 --> 00:54:31,840

So what we're gonna do over the next several years is

:

00:54:31,840 --> 00:54:35,189

we're gonna put more money than you put in there.

:

00:54:36,149 --> 00:54:39,199

But even only if you do these things that we want you to do.

:

00:54:39,510 --> 00:54:41,649

So these things you're gonna be very successful

:

00:54:41,949 --> 00:54:44,229

and we're gonna run the risk with you by

:

00:54:44,229 --> 00:54:46,310

putting more money than you would put into the,

:

00:54:46,399 --> 00:54:46,860

into the kid.

:

00:54:48,860 --> 00:54:49,479

OK,

:

00:54:50,050 --> 00:54:50,629

so

:

00:54:51,050 --> 00:54:51,810

that's the plan.

:

00:54:52,010 --> 00:54:52,489

These guys,

:

00:54:52,530 --> 00:54:52,969

of course,

:

00:54:53,090 --> 00:54:55,360

are like beside themselves bullshit.

:

00:54:55,399 --> 00:54:55,850

They're crazy.

:

00:54:55,969 --> 00:54:56,879

We're gonna be the criteria.

:

00:54:57,409 --> 00:54:57,830

OK,

:

00:54:58,250 --> 00:55:00,850

so there comes the president Portugal International state.

:

00:55:03,120 --> 00:55:05,030

He was hired from Grand Metropolitan.

:

00:55:06,320 --> 00:55:07,300

They used to run,

:

00:55:07,479 --> 00:55:08,209

uh,

:

00:55:08,229 --> 00:55:08,750

uh,

:

00:55:08,760 --> 00:55:09,870

Haagen-Dazs and

:

00:55:10,810 --> 00:55:11,560

fantastic guy.

:

00:55:11,590 --> 00:55:13,399

He's from New Zealand originally.

:

00:55:14,399 --> 00:55:14,959

English lord,

:

00:55:15,040 --> 00:55:15,439

tall,

:

00:55:15,500 --> 00:55:16,040

blonde,

:

00:55:16,330 --> 00:55:17,060

handsome.

:

00:55:17,639 --> 00:55:18,949

First time I meet Peter Thompson.

:

00:55:19,790 --> 00:55:20,560

So I see Peter,

:

00:55:21,520 --> 00:55:21,550

it's,

:

00:55:21,570 --> 00:55:21,580

ah,

:

00:55:21,590 --> 00:55:22,110

OK,

:

00:55:22,469 --> 00:55:23,709

I have a meeting with Roy Enrico,

:

00:55:23,899 --> 00:55:24,669

the CEO of Pepsico,

:

00:55:24,909 --> 00:55:25,590

right after this.

:

00:55:25,669 --> 00:55:27,129

So tell me what I'm gonna tell him.

:

00:55:27,550 --> 00:55:28,050

And I said,

:

00:55:28,669 --> 00:55:30,570

How are we gonna increase the price of concentrator?

:

00:55:30,610 --> 00:55:30,629

Oh what,

:

00:55:32,139 --> 00:55:33,239

first thing you're gonna go and tell Roger

:

00:55:33,239 --> 00:55:34,620

we're not gonna increase the price of condo.

:

00:55:35,250 --> 00:55:36,820

What do you mean this guy hasn't been working for years.

:

00:55:37,580 --> 00:55:38,110

So not beat it.

:

00:55:38,270 --> 00:55:39,159

If you do that,

:

00:55:39,429 --> 00:55:41,110

we will be sued by everybody.

:

00:55:43,050 --> 00:55:44,330

You will gonna go and tell me we're not gonna increase the price of.

:

00:55:44,489 --> 00:55:45,110

Instead,

:

00:55:45,469 --> 00:55:47,550

we're gonna share our profit with the butlers,

:

00:55:47,590 --> 00:55:49,350

and we're gonna do this and that for them.

:

00:55:49,840 --> 00:55:52,530

And we're gonna do that through a concept called Franchise university.

:

00:55:54,850 --> 00:55:58,689

Happen in PepsiCo is this marketing funds in order to be spent

:

00:55:59,250 --> 00:56:00,340

how to we agree with the bottle

:

00:56:01,110 --> 00:56:04,610

in the Coca-Cola war that happened in September of this year or

:

00:56:04,610 --> 00:56:07,860

the following year in the Pepsi war that happened in May,

:

00:56:08,030 --> 00:56:08,189

June,

:

00:56:08,310 --> 00:56:08,949

July

:

00:56:09,070 --> 00:56:10,830

of the year of the current year.

:

00:56:11,149 --> 00:56:14,350

So our performance was beginning of the year like this versus Coke,

:

00:56:14,389 --> 00:56:14,399

then

:

00:56:15,510 --> 00:56:17,229

being on first quarter like that over Coke,

:

00:56:17,389 --> 00:56:18,300

then like this like that.

:

00:56:19,070 --> 00:56:20,100

So it was crazy.

:

00:56:20,560 --> 00:56:20,810

Coca-Cola.

:

00:56:21,425 --> 00:56:21,804

steady,

:

00:56:21,844 --> 00:56:22,544

steady steady again share.

:

00:56:24,205 --> 00:56:24,215

So,

:

00:56:24,225 --> 00:56:24,645

OK,

:

00:56:25,084 --> 00:56:25,524

so

:

00:56:25,804 --> 00:56:26,465

we're gonna

:

00:56:26,635 --> 00:56:27,604

give them more money.

:

00:56:27,725 --> 00:56:30,925

We're gonna teach our people how to run if you another first event,

:

00:56:30,965 --> 00:56:33,354

you're gonna teach our people how to run these meetings

:

00:56:33,645 --> 00:56:37,235

to get these documents signed in September 30th,

:

00:56:37,324 --> 00:56:38,465

by September 30th

:

00:56:39,004 --> 00:56:41,604

so that we can execute as of January 1st.

:

00:56:41,895 --> 00:56:43,245

If we execute as of January 1st,

:

00:56:43,405 --> 00:56:45,485

I guarantee you that we will get shares for

:

00:56:46,415 --> 00:56:47,324

and we'll be successful.

:

00:56:48,090 --> 00:56:49,409

So Peter likes the idea.

:

00:56:49,610 --> 00:56:50,489

He goes to Roger.

:

00:56:50,530 --> 00:56:51,409

He presents the idea.

:

00:56:51,570 --> 00:56:53,209

Roger and the CEO of Cas signs,

:

00:56:54,209 --> 00:56:54,959

and yeah,

:

00:56:55,169 --> 00:56:55,439

yeah,

:

00:56:56,129 --> 00:56:56,850

he comes back and said,

:

00:56:56,919 --> 00:56:57,510

OK,

:

00:56:58,250 --> 00:57:01,729

in 4 weeks' time we're presenting this to all

:

00:57:01,729 --> 00:57:04,570

the general managers of Pepsico International and the world.

:

00:57:04,729 --> 00:57:07,379

So we're gonna have a meeting in Barcelona with these guys,

:

00:57:07,649 --> 00:57:08,979

10 guys around the world,

:

00:57:09,209 --> 00:57:11,030

where you're gonna introduce this concept to them,

:

00:57:11,290 --> 00:57:12,770

and you need to get their buy-in.

:

00:57:13,810 --> 00:57:13,820

OK

:

00:57:16,620 --> 00:57:16,780

Now,

:

00:57:17,020 --> 00:57:20,030

I know it's a year earlier before I went to Spain,

:

00:57:20,540 --> 00:57:24,659

another guy presented this to this 10 guys that he got kicked out of the room,

:

00:57:24,939 --> 00:57:25,379

big time.

:

00:57:25,540 --> 00:57:28,969

I was outside and I could hear the screams going on

:

00:57:29,179 --> 00:57:30,439

and I was outside

:

00:57:30,750 --> 00:57:30,850

and

:

00:57:31,409 --> 00:57:32,320

oh my God.

:

00:57:32,699 --> 00:57:34,659

So I went to Spain and

:

00:57:35,110 --> 00:57:35,790

Uh,

:

00:57:36,139 --> 00:57:39,979

so now I'm going in front of the same 10 guys to tell them that

:

00:57:40,239 --> 00:57:43,949

of these 10 guys I work with them because I work in the franchise company.

:

00:57:44,030 --> 00:57:45,530

I work in the operating company.

:

00:57:45,989 --> 00:57:46,729

So

:

00:57:47,379 --> 00:57:48,270

we go to Barcelona.

:

00:57:48,350 --> 00:57:50,169

We prepared the presentation,

:

00:57:50,629 --> 00:57:52,060

and these guys are like,

:

00:57:52,070 --> 00:57:52,100

hm,

:

00:57:53,129 --> 00:57:54,879

so we're gonna give them more money.

:

00:57:55,389 --> 00:57:56,330

Why is that a good idea?

:

00:57:56,489 --> 00:57:56,629

No,

:

00:57:56,739 --> 00:57:56,879

I want my money.

:

00:57:58,219 --> 00:57:58,229

Oh,

:

00:57:58,300 --> 00:57:58,560

by the way,

:

00:57:58,669 --> 00:58:00,020

not only we're gonna give them more money,

:

00:58:00,149 --> 00:58:00,989

but you know what,

:

00:58:01,260 --> 00:58:03,909

we're gonna segment the market into 4 segments.

:

00:58:04,560 --> 00:58:05,520

Leadership,

:

00:58:05,919 --> 00:58:09,760

critical mass this and that and uh subscale.

:

00:58:10,000 --> 00:58:13,199

The sub-scale markets will get no markets 0.

:

00:58:16,870 --> 00:58:18,389

The 2 or 3 guys that were in.

:

00:58:20,610 --> 00:58:22,110

The leadership market are gonna get

:

00:58:22,729 --> 00:58:23,270

more.

:

00:58:23,850 --> 00:58:24,830

The

:

00:58:25,209 --> 00:58:26,669

physical mass are gonna get more,

:

00:58:26,929 --> 00:58:29,270

and the average market gonna get what they will get.

:

00:58:29,370 --> 00:58:32,449

But you guys are not gonna get anything because you have to give it to other guys

:

00:58:33,169 --> 00:58:33,449

and bullshit.

:

00:58:34,370 --> 00:58:35,229

So that's how it's gonna happen,

:

00:58:35,689 --> 00:58:36,449

and this had,

:

00:58:36,610 --> 00:58:36,929

so we,

:

00:58:37,010 --> 00:58:38,030

we show where the markets are

:

00:58:38,600 --> 00:58:38,610

now.

:

00:58:38,649 --> 00:58:40,149

The general managers had.

:

00:58:40,830 --> 00:58:42,739

In their pocket they had leadership market.

:

00:58:42,810 --> 00:58:43,370

They had

:

00:58:43,570 --> 00:58:44,310

sub-scale market.

:

00:58:44,350 --> 00:58:44,489

They had market.

:

00:58:44,500 --> 00:58:44,620

They had

:

00:58:46,510 --> 00:58:49,070

so the on performing market were not on only one head.

:

00:58:49,149 --> 00:58:49,860

They were all throughout.

:

00:58:50,590 --> 00:58:50,860

OK,

:

00:58:50,949 --> 00:58:51,149

fine.

:

00:58:52,500 --> 00:58:54,600

And now we're gonna give this money to this guy

:

00:58:55,020 --> 00:58:56,050

in all the markets,

:

00:58:56,300 --> 00:58:56,909

including the non,

:

00:58:58,939 --> 00:59:01,080

the one that they're gonna any more money,

:

00:59:01,340 --> 00:59:02,479

we're gonna have them

:

00:59:02,659 --> 00:59:04,060

have to sign for this thing.

:

00:59:04,300 --> 00:59:06,699

And the marketing programs are also gonna be designed

:

00:59:06,699 --> 00:59:09,379

according to these categories of that to this segmentation.

:

00:59:09,939 --> 00:59:12,820

So for the leadership market they're gonna have the best marketing program.

:

00:59:12,915 --> 00:59:13,235

Program.

:

00:59:13,435 --> 00:59:13,895

So

:

00:59:14,114 --> 00:59:15,955

if the best singer wasn't Ricky Iglesias,

:

00:59:16,114 --> 00:59:18,435

Ricky Iglesia is gonna go there and sing for these people.

:

00:59:19,074 --> 00:59:19,354

Pepsi,

:

00:59:19,435 --> 00:59:20,774

that's what Pepsi owns music.

:

00:59:20,834 --> 00:59:21,844

It's called Pepsi Music.

:

00:59:21,915 --> 00:59:22,705

You go to the UK,

:

00:59:22,794 --> 00:59:23,594

you go to India,

:

00:59:23,834 --> 00:59:24,534

you go through,

:

00:59:24,554 --> 00:59:25,625

even in the US,

:

00:59:25,995 --> 00:59:28,074

the top 10 chart is Pepsi Music.

:

00:59:28,800 --> 00:59:30,949

So we own all the we own Michael Jackson.

:

00:59:31,030 --> 00:59:32,070

We own Madonna.

:

00:59:32,149 --> 00:59:33,219

We own Ricky Martin.

:

00:59:33,310 --> 00:59:34,250

We own all these

:

00:59:34,659 --> 00:59:35,270

properties,

:

00:59:35,550 --> 00:59:35,969

OK.

:

00:59:36,469 --> 00:59:37,149

So

:

00:59:37,429 --> 00:59:39,409

now for the subscale market,

:

00:59:40,070 --> 00:59:43,320

Srinivas Ragavan in India is gonna go and see

:

00:59:44,860 --> 00:59:45,550

in Pura party because he's,

:

00:59:45,709 --> 00:59:46,090

he's like

:

00:59:46,830 --> 00:59:47,739

an idol there,

:

00:59:47,979 --> 00:59:49,229

but they're not gonna get Ricky Martin.

:

00:59:49,300 --> 00:59:50,379

They're not gonna get Michael Jackson.

:

00:59:50,449 --> 00:59:51,389

They're not gonna get Madonna.

:

00:59:51,459 --> 00:59:52,229

They're not gonna get any of them,

:

00:59:52,790 --> 00:59:53,229

OK,

:

00:59:53,629 --> 00:59:53,969

so

:

00:59:54,149 --> 00:59:54,419

each.

:

00:59:54,750 --> 00:59:56,949

The fragment of the marketing program was pegged

:

00:59:57,129 --> 00:59:59,320

to your market capability.

:

00:59:59,969 --> 01:00:00,070

OK,

:

01:00:00,959 --> 01:00:01,310

I know,

:

01:00:01,350 --> 01:00:02,070

by the way,

:

01:00:02,439 --> 01:00:05,659

we were known as the best lab for Coca-Cola.

:

01:00:05,830 --> 01:00:06,570

If we

:

01:00:06,830 --> 01:00:08,189

created something was successful,

:

01:00:08,429 --> 01:00:09,469

Coca-Cola will copy

:

01:00:09,760 --> 01:00:12,010

and execute it flawlessly around the world and kill us.

:

01:00:13,020 --> 01:00:13,550

So for example,

:

01:00:13,669 --> 01:00:14,989

we create the Pepsi Max,

:

01:00:15,030 --> 01:00:17,370

which here is called Coke Zero,

:

01:00:18,659 --> 01:00:20,649

the best formula ever created.

:

01:00:21,520 --> 01:00:22,139

We

:

01:00:22,399 --> 01:00:26,719

were able to move it from England to Spain to Mexico to other places,

:

01:00:26,919 --> 01:00:28,659

but America never accepted it

:

01:00:29,080 --> 01:00:30,500

because it wasn't invented here.

:

01:00:31,520 --> 01:00:31,919

Meanwhile,

:

01:00:32,080 --> 01:00:34,120

Coca-Cola coffee and Coca-Cola Coola

:

01:00:35,000 --> 01:00:35,860

Coke Zero

:

01:00:36,239 --> 01:00:38,560

and put it all through the market including the US.

:

01:00:40,159 --> 01:00:44,300

Pepsi Max is still a success in all the markets that we would have ever here.

:

01:00:44,879 --> 01:00:46,389

We are with Pepsi Zero

:

01:00:46,719 --> 01:00:47,620

and second

:

01:00:47,929 --> 01:00:49,280

run to a Coola Zero,

:

01:00:49,750 --> 01:00:51,159

even though we had the formula first,

:

01:00:51,260 --> 01:00:53,729

even though we create the formula that we invented formula,

:

01:00:53,959 --> 01:00:54,360

but we,

:

01:00:54,550 --> 01:00:55,540

because it was invented here,

:

01:00:55,719 --> 01:00:55,729

OK,

:

01:00:57,320 --> 01:00:58,100

so that's an example.

:

01:00:58,760 --> 01:00:59,290

So

:

01:00:59,520 --> 01:01:00,320

here it is.

:

01:01:00,879 --> 01:01:01,919

That's how

:

01:01:02,280 --> 01:01:05,479

HR can have an impact in the business.

:

01:01:06,080 --> 01:01:06,669

By

:

01:01:07,310 --> 01:01:08,889

not being a yes man,

:

01:01:09,159 --> 01:01:11,260

but being a business partner,

:

01:01:11,280 --> 01:01:12,679

understanding the dynamics of the market,

:

01:01:13,199 --> 01:01:14,219

understanding what happened

:

01:01:14,520 --> 01:01:15,959

and understanding

:

01:01:16,199 --> 01:01:20,770

what are the risks and the compliance issue associated with any business asset

:

01:01:21,159 --> 01:01:23,169

whether it impacts personnel or not the marketplace,

:

01:01:26,909 --> 01:01:26,919

OK.

:

01:01:27,330 --> 01:01:28,370

Uh,

:

01:01:28,850 --> 01:01:31,810

and so that brings us back to talent acquisition and engagement.

:

01:01:31,979 --> 01:01:32,399

Once again,

:

01:01:32,449 --> 01:01:34,030

if you have the right strategy,

:

01:01:34,449 --> 01:01:36,310

then you know who the right people are.

:

01:01:36,989 --> 01:01:40,389

60% of your leadership people should be from inside

:

01:01:40,629 --> 01:01:42,429

at any level of your organization,

:

01:01:42,510 --> 01:01:44,340

40% should be from outside

:

01:01:44,750 --> 01:01:46,050

because you want that

:

01:01:46,179 --> 01:01:47,270

external influence.

:

01:01:47,310 --> 01:01:50,909

You want what's happening in the marketplace to percolate inside of your company,

:

01:01:51,260 --> 01:01:54,909

but you need to bring that 40% at the right level in your organization

:

01:01:55,169 --> 01:01:56,270

so that they can succeed,

:

01:01:56,310 --> 01:01:58,780

that they can germinate inside of your company

:

01:01:59,270 --> 01:02:00,780

instead of being killed.

:

01:02:01,040 --> 01:02:01,989

Think of it,

:

01:02:02,270 --> 01:02:02,510

you know,

:

01:02:02,750 --> 01:02:03,830

killing the plant.

:

01:02:04,389 --> 01:02:04,909

The weed,

:

01:02:05,100 --> 01:02:06,770

the note syndrome

:

01:02:07,070 --> 01:02:07,929

will kill

:

01:02:08,310 --> 01:02:11,469

that single great performer executive that you hire.

:

01:02:12,760 --> 01:02:14,620

Because one against many,

:

01:02:14,919 --> 01:02:15,709

that one will always lose.

:

01:02:18,310 --> 01:02:19,830

So that's how the mother works.

:

01:02:19,949 --> 01:02:20,929

That's how.

:

01:02:22,050 --> 01:02:23,770

We will impact the business,

:

01:02:23,810 --> 01:02:26,570

and that is true for any project you want to run.

:

01:02:27,050 --> 01:02:29,169

So you want to run the Novartis project,

:

01:02:29,209 --> 01:02:29,409

you know,

:

01:02:29,489 --> 01:02:32,709

which is to invest $4 billion in the market from zero,

:

01:02:33,330 --> 01:02:35,850

you need to have those components checked,

:

01:02:36,010 --> 01:02:36,209

checked,

:

01:02:36,290 --> 01:02:36,449

check,

:

01:02:36,530 --> 01:02:36,689

check,

:

01:02:36,810 --> 01:02:37,129

check.

:

01:02:37,409 --> 01:02:39,929

If you want to launch a new product,

:

01:02:40,409 --> 01:02:40,929

you know.

:

01:02:43,510 --> 01:02:43,520

Hello.

:

01:02:46,560 --> 01:02:46,979

Hello,

:

01:02:47,100 --> 01:02:47,209

uh,

:

01:02:47,280 --> 01:02:47,419

uh,

:

01:02:47,580 --> 01:02:48,169

one second,

:

01:02:48,219 --> 01:02:48,879

um,

:

01:02:49,340 --> 01:02:49,469

hold on,

:

01:02:50,419 --> 01:02:51,590

this is Shrinivas.

:

01:02:52,020 --> 01:02:52,610

Uh,

:

01:02:52,750 --> 01:02:53,659

Rosa is joining.

:

01:02:53,770 --> 01:02:54,540

Give me one minute,

:

01:02:54,659 --> 01:02:55,219

1 minute.

:

01:02:55,300 --> 01:02:55,639

I will,

:

01:02:55,780 --> 01:02:56,500

I will have a drink.

:

01:02:58,780 --> 01:02:59,739

Are you joined the call,

:

01:02:59,750 --> 01:03:00,290

Rosa?

:

01:03:00,540 --> 01:03:00,699

Yeah,

:

01:03:00,860 --> 01:03:01,120

hi.

:

01:03:01,550 --> 01:03:01,560

Oh,

:

01:03:01,620 --> 01:03:01,810

OK,

:

01:03:01,939 --> 01:03:02,010

man.

:

01:03:02,139 --> 01:03:02,379

OK,

:

01:03:02,459 --> 01:03:03,370

can you just start?

:

01:03:03,510 --> 01:03:03,699

I'll,

:

01:03:03,780 --> 01:03:04,540

I'll grab you.

:

01:03:05,139 --> 01:03:05,149

Oh,

:

01:03:05,810 --> 01:03:06,550

now I'll change my,

:

01:03:06,860 --> 01:03:07,360

my name.

:

01:03:08,689 --> 01:03:10,909

Holabre

:

01:03:12,800 --> 01:03:13,840

so rosa.

:

01:03:15,050 --> 01:03:15,060

Uh

:

01:03:18,280 --> 01:03:26,669

let's let's present andresta la bueno castabus and Rosa snos.

:

01:03:40,750 --> 01:03:40,879

Yeah,

:

01:03:40,889 --> 01:03:41,169

I'm

:

01:03:45,500 --> 01:03:45,739

I would,

:

01:03:45,989 --> 01:03:46,760

I can't.

:

01:04:00,969 --> 01:04:00,979

It

:

01:04:02,919 --> 01:04:04,189

Oh sis.

:

01:04:05,669 --> 01:04:06,620

I'm working now.

:

01:04:23,020 --> 01:04:23,649

Uh-huh.

:

01:04:32,179 --> 01:04:32,580

It's

:

01:04:42,610 --> 01:04:43,070

Ok,

:

01:04:44,419 --> 01:04:45,949

consent me comparto esto.

:

01:04:48,620 --> 01:04:48,659

We're not.

:

01:04:56,689 --> 01:04:57,129

before I do.

:

01:05:04,239 --> 01:05:04,479

OK,

:

01:05:04,600 --> 01:05:05,120

it's done.

:

01:05:05,899 --> 01:05:06,040

OK,

:

01:05:06,120 --> 01:05:06,610

we are compared.

:

01:05:09,840 --> 01:05:13,750

Andre Mahonovasa host disabled participate screen.

:

01:05:17,010 --> 01:05:17,560

One second,

:

01:05:18,270 --> 01:05:18,530

I will,

:

01:05:18,649 --> 01:05:19,110

I will,

:

01:05:19,250 --> 01:05:20,050

I will check that.

:

01:05:20,949 --> 01:05:21,540

I could

:

01:05:23,580 --> 01:05:24,580

Um,

:

01:05:24,939 --> 01:05:26,020

I could reclaim host.

:

01:05:26,100 --> 01:05:26,780

You want me to reclaim?

:

01:05:26,870 --> 01:05:26,979

Yeah,

:

01:05:27,090 --> 01:05:27,639

you can do that,

:

01:05:27,739 --> 01:05:27,899

yeah,

:

01:05:28,060 --> 01:05:28,260

please.

:

01:05:31,050 --> 01:05:31,540

OK,

:

01:05:31,699 --> 01:05:32,340

you got it.

:

01:05:32,620 --> 01:05:33,540

You know how to do it?

:

01:05:33,810 --> 01:05:34,080

Yeah,

:

01:05:34,260 --> 01:05:34,489

got it.

:

01:05:34,580 --> 01:05:35,010

OK,

:

01:05:35,100 --> 01:05:35,379

OK.

:

01:05:36,179 --> 01:05:36,699

OK.

:

01:05:37,729 --> 01:05:38,689

And Don says,

:

01:05:39,419 --> 01:05:45,469

Alaa andrespasado loquelo la pasa nostamojajada

:

01:05:47,679 --> 01:05:49,459

quequeremoj lazar

:

01:05:49,889 --> 01:05:51,560

uh buenaventura or cartagenagamo referenciao peroqueremoja maximar

:

01:05:51,570 --> 01:06:00,560

er la viscia a esto lugare verna

:

01:06:01,500 --> 01:06:02,600

and toses um.

:

01:06:03,979 --> 01:06:04,000

Joe

:

01:06:05,550 --> 01:06:06,320

Mepusa pensar

:

01:06:07,500 --> 01:06:10,409

er basado peenza que quetua se mucho tiepo

:

01:06:11,459 --> 01:06:14,000

in la possibilliar Google Maps.

:

01:06:15,409 --> 01:06:16,280

Para er

:

01:06:16,719 --> 01:06:19,020

planar una unitinerario.

:

01:06:19,899 --> 01:06:21,110

The de lugares

:

01:06:22,149 --> 01:06:27,659

a pacificojala industria queuno esta terresadoenesaria parasi

:

01:06:27,659 --> 01:06:28,959

maximisaripo de planar contpo and dejegarai no

:

01:06:32,100 --> 01:06:32,120

no

:

01:06:33,729 --> 01:06:35,590

nosariamente paraa maria cercia porque

:

01:06:35,590 --> 01:06:40,239

tenemoinequesecunaita pero para optimisarla ruta

:

01:06:40,439 --> 01:06:45,389

and el camino into maximisarel tiepo ilim de la ida commolo.

:

01:06:48,020 --> 01:06:51,179

And to says um in Colombia Prejemplolo puertolo

:

01:06:51,179 --> 01:06:55,520

er er pacificos la industra serial industria marina verda

:

01:06:56,169 --> 01:06:56,899

er

:

01:06:57,149 --> 01:07:01,000

perontonserejestoe hemplo de alguna industrial jaja

:

01:07:01,520 --> 01:07:08,370

er verda socida porta buenaventura Puerto maritimo buaventura cerprilosea etc.

:

01:07:08,449 --> 01:07:09,010

etc.

:

01:07:10,830 --> 01:07:10,979

Implo

:

01:07:12,290 --> 01:07:15,689

er serviso mas technico quere hemplolos

:

01:07:15,949 --> 01:07:16,979

lo la companiaqueen

:

01:07:18,639 --> 01:07:19,340

serviso

:

01:07:20,530 --> 01:07:21,270

the

:

01:07:21,550 --> 01:07:23,780

the mechanica reparation or aqui

:

01:07:23,780 --> 01:07:27,939

estano doquestraportilloa or specialista hen and

:

01:07:30,719 --> 01:07:32,000

an inspection de cargano.

:

01:07:32,649 --> 01:07:32,659

I

:

01:07:33,189 --> 01:07:34,090

er

:

01:07:34,489 --> 01:07:37,929

suede maje pacificano aleono sotroje compania

:

01:07:37,929 --> 01:07:41,169

of resciendo servicio para indusia marina

:

01:07:41,800 --> 01:07:45,790

er que puede cer reparacion de barcos

:

01:07:46,010 --> 01:07:46,699

er

:

01:07:47,080 --> 01:07:47,659

deposition de

:

01:07:47,929 --> 01:07:48,860

de basura

:

01:07:50,040 --> 01:07:52,439

or er lacompanaque fresen um

:

01:07:53,850 --> 01:07:59,000

los talkbos solo lo barco deremolque no solo que holland holland.

:

01:08:00,090 --> 01:08:00,209

Sakani

:

01:08:01,780 --> 01:08:05,620

uh saola remulcado loquesakani nalo barcos adentro puerto

:

01:08:07,350 --> 01:08:15,270

er esa er I'm being parao cartagena tenia er pensados cartagena tambien

:

01:08:15,919 --> 01:08:17,850

lomi lomi er

:

01:08:19,540 --> 01:08:20,250

um

:

01:08:21,089 --> 01:08:22,040

s para cartagena

:

01:08:23,149 --> 01:08:23,819

and to says una del de la.

:

01:08:28,087 --> 01:08:31,179

Del resume the se plan devisita verda

:

01:08:31,639 --> 01:08:35,969

esquepo de montilisa bear si que se ilisar Google Maps

:

01:08:36,249 --> 01:08:37,729

para er

:

01:08:39,250 --> 01:08:43,560

Selectionaresa industrias porttipoverda esatipo

:

01:08:43,560 --> 01:08:48,959

teraria el umbrella compania unservisoviamentevaloquetenejal

:

01:08:48,959 --> 01:08:51,520

macenado and sued that on Google Maps para contacto.

:

01:08:53,658 --> 01:08:54,999

E e caso puerto

:

01:08:55,679 --> 01:08:58,238

de relevancia bunaventura or Cartagena

:

01:08:58,877 --> 01:09:02,219

eso dar possibly tormente

:

01:09:03,249 --> 01:09:03,599

plania la visa

:

01:09:04,679 --> 01:09:04,788

porque

:

01:09:06,229 --> 01:09:12,707

ide alserian sector pero me maj que cuando and preliminary noseque esta

:

01:09:13,578 --> 01:09:17,898

mahaja siertasonaoyafia is a root.

:

01:09:19,100 --> 01:09:23,819

Er obviamente los segmento stan and la indusia marina

:

01:09:24,089 --> 01:09:28,680

verda duo de barco portadorejo puerto Puerto bavien.

:

01:09:29,560 --> 01:09:29,660

Er,

:

01:09:29,669 --> 01:09:38,459

casadore grandes sola compania de loa calmaanesasesos um

:

01:09:38,459 --> 01:09:42,520

es amercancia en el puerto antejemontarlagen el barcoverda

:

01:09:43,270 --> 01:09:43,759

er

:

01:09:44,660 --> 01:09:48,490

entosesoslo exportado reo exportado reno tanto como

:

01:09:49,819 --> 01:09:52,479

comolo cargadorese and afraid for ino mavien

:

01:09:52,479 --> 01:09:54,839

comola compania questana and el puerto.

:

01:09:56,540 --> 01:10:01,060

Eton says esa seriacomaeloti and to serial primera

:

01:10:03,830 --> 01:10:06,060

estas estamientasesara crear.

:

01:10:10,470 --> 01:10:13,049

Uno the saona sintarai physicamente.

:

01:10:16,049 --> 01:10:16,089

Itslope.

:

01:10:17,069 --> 01:10:17,680

Got a sister.

:

01:10:20,229 --> 01:10:23,419

Simeca meca claro joesa undesa rojo paraoncierm

:

01:10:24,089 --> 01:10:25,770

and and la Florida

:

01:10:26,009 --> 01:10:26,709

tenoreaque ande

:

01:10:27,990 --> 01:10:29,069

er sumministros

:

01:10:29,759 --> 01:10:31,100

paramatrimento de eulos er

:

01:10:32,069 --> 01:10:36,140

aces filtros judolaenerpeloremientotomovierto

:

01:10:36,140 --> 01:10:38,839

el bendelos productosito beneddoes

:

01:10:39,569 --> 01:10:44,859

er losquaes los arega porto estazunidositenenquerasarla ruta

:

01:10:45,850 --> 01:10:46,129

deonde.

:

01:10:46,970 --> 01:10:51,830

Dondeona isitaria cual CRM thisporemonase the story is itititarak

:

01:10:51,830 --> 01:10:57,729

quincesediascadaesscadao yosmaneso tin pelmentesel desarroouerte

:

01:10:57,729 --> 01:10:59,049

on the sat information deliente

:

01:10:59,700 --> 01:11:00,879

pera you know part on the

:

01:11:01,069 --> 01:11:01,990

edio rantolos

:

01:11:02,189 --> 01:11:06,439

Diazim iran er cues unoslientesqueriam visitaresedia

:

01:11:07,200 --> 01:11:08,459

econ Google Maps

:

01:11:08,839 --> 01:11:09,669

lestrasa

:

01:11:09,950 --> 01:11:11,350

loquetuamas preisamente

:

01:11:12,009 --> 01:11:13,729

ella rutamas efficiente

:

01:11:14,439 --> 01:11:15,189

para recorrido.

:

01:11:15,959 --> 01:11:16,629

I

:

01:11:17,319 --> 01:11:17,890

uh

:

01:11:18,950 --> 01:11:24,580

Apartil dum punto de de salida de gamos est estain in la casa on the on the view el el

:

01:11:24,740 --> 01:11:25,310

el mendedor

:

01:11:26,580 --> 01:11:29,879

or pasa you know visina prognea recumbuestras or el ola

:

01:11:29,879 --> 01:11:34,080

planta production and film there uh they are agua alto

:

01:11:34,810 --> 01:11:35,459

and toss

:

01:11:35,669 --> 01:11:36,290

apartilde

:

01:11:37,330 --> 01:11:40,120

de seorrigen elise on devasa de micasa or

:

01:11:40,629 --> 01:11:45,279

bueno el icoleuezu porque google map map squaretear and no sabuszario.

:

01:11:46,339 --> 01:11:47,930

I er trasasaruta

:

01:11:48,549 --> 01:11:53,500

leserbe tanto al almedorco parasaver coella raruta quemejoor

:

01:11:53,979 --> 01:11:54,600

um

:

01:11:55,500 --> 01:11:57,290

Puele permit erreviciente consulas.

:

01:11:59,040 --> 01:11:59,399

Como parasaver

:

01:12:00,490 --> 01:12:04,060

puntos prisamente quesa mujosique yeah jaro paratrodia.

:

01:12:05,750 --> 01:12:06,879

Cavesqueljegayasuna visa

:

01:12:08,009 --> 01:12:09,129

er la visa tinque concluir

:

01:12:09,720 --> 01:12:10,470

conunaventa

:

01:12:11,069 --> 01:12:13,680

or cona conunporte visita puesa unaventas implemented visitor

:

01:12:14,959 --> 01:12:15,799

er el bendedor.

:

01:12:16,810 --> 01:12:18,000

Ekwondo er

:

01:12:19,220 --> 01:12:19,890

Registas informacion

:

01:12:20,609 --> 01:12:25,160

porotrolado lerazo mapainondela persona estadoest the informacion decirbe

:

01:12:26,060 --> 01:12:27,290

cualor dementas

:

01:12:27,759 --> 01:12:30,129

parasa verdon de stanzo bendeores is precisamente

:

01:12:30,740 --> 01:12:34,290

san salido de la ruta er in agulos caso petigamosquesto

:

01:12:34,290 --> 01:12:37,839

salala and presas parasavsier comoso

:

01:12:37,839 --> 01:12:41,930

bendedores pueenesar bendotrostos quenos on desirementesabsistan

:

01:12:42,720 --> 01:12:44,689

in la ruta de quecom please just in on

:

01:12:44,859 --> 01:12:44,870

on.

:

01:12:46,870 --> 01:12:47,879

Una ruta con complimiento

:

01:12:48,379 --> 01:12:51,850

quena isita para paraesto editiamentina cuenta Google Maps

:

01:12:52,240 --> 01:12:52,680

uh

:

01:12:52,979 --> 01:12:53,859

Google Maps

:

01:12:54,490 --> 01:12:54,799

Cobra

:

01:12:55,729 --> 01:12:58,330

Cobra mm al

:

01:12:58,479 --> 01:13:00,439

alquilareluzo ok um

:

01:13:00,870 --> 01:13:01,850

contratareluzo

:

01:13:02,359 --> 01:13:03,839

the the lapi the Google.

:

01:13:05,740 --> 01:13:09,189

Yape Google cano numero the the the hits or the or the

:

01:13:09,410 --> 01:13:10,939

consummosqueson gratis

:

01:13:11,209 --> 01:13:12,899

it is the pasiyapisakora

:

01:13:13,790 --> 01:13:18,810

il Google Maps a mastianotras er utiridiatu is a yoquiroqueme.

:

01:13:19,770 --> 01:13:20,200

Queme mueestre

:

01:13:20,669 --> 01:13:24,589

la rutamaseviciente is azuna ocoelaancient resodos puntos

:

01:13:25,080 --> 01:13:27,279

is aotanres Google Maps adema de nsu su mapa

:

01:13:28,200 --> 01:13:31,220

ettiotroservisio isales comovente visioionales you know

:

01:13:31,339 --> 01:13:32,549

knows as ino unoques

:

01:13:33,220 --> 01:13:34,959

pero er quete permitten

:

01:13:35,750 --> 01:13:36,240

presciamente

:

01:13:36,790 --> 01:13:39,689

opttiniarloquenezezetaco porcauno esosapis

:

01:13:40,580 --> 01:13:42,649

elluzo esosapisel consummo

:

01:13:43,330 --> 01:13:47,589

decoranel coro no esaltisimo pero parapoder desa roar.

:

01:13:48,790 --> 01:13:49,799

and unappy a google mapel

:

01:13:50,879 --> 01:13:53,649

this porfa primero treme suajete creto detriquea cuenta de

:

01:13:54,250 --> 01:13:54,870

de la personadena.

:

01:13:56,560 --> 01:13:57,060

Am.

:

01:13:58,549 --> 01:14:00,120

Del projectoel del del desarrojo.

:

01:14:03,720 --> 01:14:03,859

Yayosopoesararlo.

:

01:14:06,390 --> 01:14:07,640

Como como como Amazon web service

:

01:14:07,959 --> 01:14:08,810

and on the

:

01:14:09,330 --> 01:14:09,750

two

:

01:14:10,540 --> 01:14:12,640

dependento loque to consumers decorum sino te pasa

:

01:14:12,640 --> 01:14:16,810

del del topepolojere general nunca curre porqueson como dimil

:

01:14:17,459 --> 01:14:19,180

Diaz mil hits Jose bastante

:

01:14:20,450 --> 01:14:21,149

and to um

:

01:14:22,080 --> 01:14:27,709

oyamentose consumes a nuns sad

:

01:14:28,370 --> 01:14:29,299

the they set to.

:

01:14:31,180 --> 01:14:34,859

I ibueno aidos camio no se pueza roar

:

01:14:35,209 --> 01:14:37,459

unapplicatio webques mui como.

:

01:14:38,339 --> 01:14:41,290

Porquete permit actorma fazionel mapa

:

01:14:41,620 --> 01:14:42,919

the google the Google Maps

:

01:14:43,589 --> 01:14:46,470

and cellular estamine pue oyamente tienne so

:

01:14:47,120 --> 01:14:47,459

uh.

:

01:14:48,330 --> 01:14:49,060

Susajas

:

01:14:49,479 --> 01:14:54,029

pero digamosque cuandosonejaruta stan grandes el el el terasao el mapa

:

01:14:54,709 --> 01:14:56,330

eres mucho masclaro

:

01:14:57,020 --> 01:14:59,069

uh and uncomputar pereggual se pueena

:

01:14:59,069 --> 01:15:02,399

tabletos puestos loque esquiresiresque pueza roar

:

01:15:02,910 --> 01:15:03,899

unalicatio web.

:

01:15:05,350 --> 01:15:05,959

own up

:

01:15:06,250 --> 01:15:06,669

plo general.

:

01:15:07,970 --> 01:15:11,779

Essosia ranca puna pundis puna applicatio web

:

01:15:12,109 --> 01:15:12,939

porquinomiraji

:

01:15:13,910 --> 01:15:17,959

asta on de quereje garcilailidades er loquiron esitai illoue

:

01:15:18,740 --> 01:15:19,180

er

:

01:15:20,140 --> 01:15:23,540

It is calando tale punton do you know he's a no yo croquesel momento

:

01:15:23,899 --> 01:15:27,970

de el salto label darrel salto latino implicaciones

:

01:15:28,399 --> 01:15:28,990

er

:

01:15:29,580 --> 01:15:31,580

the sarrojo mas complejas

:

01:15:31,580 --> 01:15:35,890

porque acaser permanentemente er actoracionesuszusalularis

:

01:15:36,669 --> 01:15:40,229

justte benque semanalmental de estapplicatio chato isarlo est applicatio

:

01:15:40,229 --> 01:15:44,589

casarro you know to castar permanent ementiaciendo eso ezela ledigamola

:

01:15:45,490 --> 01:15:46,040

er.

:

01:15:47,640 --> 01:15:50,069

El requerimiento minimo queneuna esque

:

01:15:51,040 --> 01:15:52,910

devia er unsoporte permanente

:

01:15:53,470 --> 01:15:57,180

porque por cambios and and and Google porcambio and

:

01:15:57,680 --> 01:15:58,529

and um

:

01:15:59,189 --> 01:16:00,240

and Apple and Android

:

01:16:00,600 --> 01:16:04,899

queasenque la quelo applicatioslasapslas apps er

:

01:16:05,319 --> 01:16:07,950

tengan requieran permanent remiento te

:

01:16:07,950 --> 01:16:11,910

mosquebuo clavitreiao unapplicatio web uniona con

:

01:16:12,990 --> 01:16:15,680

conlas predisamenteabema establis.

:

01:16:16,839 --> 01:16:17,700

Idura muchisimos

:

01:16:18,330 --> 01:16:19,759

muchisimo mess casianos

:

01:16:20,080 --> 01:16:23,950

er and on denui caserlecomman denimiento astaquesalelano

:

01:16:23,950 --> 01:16:25,520

aversionarso mucho ma grande yeah you see

:

01:16:26,200 --> 01:16:29,600

er puesto caria serum cambio eso pueioporegenlo desa rojosquecho.

:

01:16:30,399 --> 01:16:30,720

Uh,

:

01:16:30,729 --> 01:16:35,979

lechl cambios in applicatioea reso cuatranos res the mosque e

:

01:16:36,750 --> 01:16:38,470

uh les le permitecomallusario

:

01:16:38,759 --> 01:16:40,490

saberitba el saltono

:

01:16:41,470 --> 01:16:44,990

una dei bueno yeah estaprica stan complejos mejorao

:

01:16:44,990 --> 01:16:50,089

comprejonole facilita maza la gentesunaper or osiiendo web to

:

01:16:51,540 --> 01:16:56,100

er ferentialoquet planteas eso esolo echo is is eddigamos

:

01:16:56,459 --> 01:16:57,020

er.

:

01:16:57,890 --> 01:17:02,750

Unesaroque puesalirmrapimi pregunta seria lineformacionquettienne the

:

01:17:02,890 --> 01:17:06,370

the el cerM desos lientes tuos tie in algunaparte

:

01:17:07,229 --> 01:17:10,209

wai undesarogen on the state content it's a contener informacion

:

01:17:10,859 --> 01:17:12,830

it's a class vicacionquetuio de la resas

:

01:17:13,490 --> 01:17:13,990

er

:

01:17:14,419 --> 01:17:15,169

e porque

:

01:17:15,939 --> 01:17:18,490

ikeaicionara ala aaase atos

:

01:17:19,080 --> 01:17:22,430

er la latituri longitudecao esos er desos

:

01:17:23,109 --> 01:17:23,589

sitio dontetuasa.

:

01:17:25,029 --> 01:17:28,759

Ba basa visitar and agulos partes seu inclusive aonarla direction

:

01:17:29,620 --> 01:17:32,020

il entrega responsibility Google maps de quete huelva

:

01:17:32,439 --> 01:17:35,540

la latitude longitu queloque permitted pinternel mapa puesel el

:

01:17:36,120 --> 01:17:36,750

el punto

:

01:17:37,330 --> 01:17:40,919

um and on the caoicabelel and estecaso pescana lareda.

:

01:17:41,839 --> 01:17:41,959

Yeah,

:

01:17:42,080 --> 01:17:42,240

yeah,

:

01:17:42,479 --> 01:17:43,209

I pra Ioque center

:

01:17:43,399 --> 01:17:45,750

I I otro.

:

01:17:47,089 --> 01:17:47,100

Uh,

:

01:17:47,129 --> 01:17:50,529

Per Google quesel de la directiones look at the queque Google Maps.

:

01:17:51,339 --> 01:17:54,439

It's una solaramienta quetine varias utilidases

:

01:17:54,890 --> 01:17:57,439

uno paga proloqueusa pues you know tuqueres quete

:

01:17:57,439 --> 01:18:00,600

complementary directiones quete al er quete trail recorridoas

:

01:18:01,200 --> 01:18:03,120

rapidos on the legascommotipo ways

:

01:18:03,439 --> 01:18:08,430

opporegenroquetuns er quirotinisara ruta tos puntostiga el el

:

01:18:08,430 --> 01:18:14,049

lejorecorrioque pasar's saas cositas es unintegaion disinta mm

:

01:18:14,270 --> 01:18:17,359

quenotine comote digo nuncase a pasa como el.

:

01:18:18,649 --> 01:18:20,250

But nouncaia currido que pasebade the

:

01:18:20,250 --> 01:18:24,700

mil hits iquetoquenoreza guarantisim masi reza

:

01:18:25,290 --> 01:18:27,220

quea er companiaque andia

:

01:18:28,439 --> 01:18:30,140

quetenia mil punto deventa

:

01:18:30,750 --> 01:18:30,859

i

:

01:18:31,979 --> 01:18:32,879

pue consumo esocialtisim

:

01:18:33,540 --> 01:18:35,859

peroquesenttiendo que questos mas

:

01:18:35,859 --> 01:18:40,779

como paraimele comojecuo onoesiestospa onrupovendeddoes

:

01:18:41,379 --> 01:18:44,759

yo er pero degamosque comoloeo no one hour.

:

01:18:46,060 --> 01:18:48,540

Cincuenta personas pegasajiate systemas in bathroom

:

01:18:49,689 --> 01:18:52,930

and or the personas is noqueoquesebulelos

:

01:18:53,169 --> 01:18:54,549

los tope de Google maps

:

01:18:55,740 --> 01:18:56,350

er paracorrela

:

01:18:58,459 --> 01:18:58,479

correcto

:

01:18:59,439 --> 01:19:02,850

see see er er er er er para cutivo is see

:

01:19:03,740 --> 01:19:05,390

como paraiari loque possi.

:

01:19:09,850 --> 01:19:12,040

and to blames like the era

:

01:19:18,229 --> 01:19:19,020

no like the eraque no

:

01:19:20,330 --> 01:19:23,770

no tengo estariaoai.

:

01:19:26,600 --> 01:19:27,439

On Google Maps,

:

01:19:27,520 --> 01:19:30,229

no pueedar commodiia que puede que

:

01:19:31,979 --> 01:19:37,520

pusoki sniva quepodemos er ubicarpoor industria verda

:

01:19:37,970 --> 01:19:40,229

esa compania pacificaverda

:

01:19:42,060 --> 01:19:46,240

er corporationlogistica en esaria de unaventura

:

01:19:46,240 --> 01:19:50,040

for the cirte de puebuacumojesaasa.

:

01:19:50,529 --> 01:19:53,930

Maria Pacificaa industria Pacifica lie

:

01:19:54,580 --> 01:20:00,910

and dentro desaria Pacifica deer bresa companviamente

:

01:20:02,029 --> 01:20:07,180

quetenga estac plania la la ruta de visas.

:

01:20:10,109 --> 01:20:10,120

See

:

01:20:20,140 --> 01:20:22,839

er compania de nose floristeria hemiaria or florists

:

01:20:25,310 --> 01:20:25,319

and

:

01:20:27,439 --> 01:20:27,680

paracido

:

01:20:30,759 --> 01:20:34,220

perosa construirai i era ruta i

:

01:20:35,049 --> 01:20:35,580

i

:

01:20:37,839 --> 01:20:38,250

ok.

:

01:20:38,970 --> 01:20:40,290

Isosa estamola de Colombia

:

01:20:40,589 --> 01:20:43,620

pesa is es muincipiente porque paraqueo funcion

:

01:20:44,680 --> 01:20:49,850

er los los lientes dena erjenadoques er Google Business

:

01:20:49,850 --> 01:20:51,890

ques una plataforma chiquitian donduno

:

01:20:51,890 --> 01:20:54,520

gennato informacion is semi companiaquease

:

01:20:55,629 --> 01:20:58,640

er cuantos pleostienne ca cuanto

:

01:20:58,640 --> 01:21:01,799

auro sitegolocalfisico syaborsteinte semana to this

:

01:21:02,910 --> 01:21:04,629

las impresas grande in Colombia

:

01:21:04,810 --> 01:21:05,509

loasin.

:

01:21:06,299 --> 01:21:06,310

I

:

01:21:07,339 --> 01:21:10,479

claro i preciamentepode arsecommotues conelapi

:

01:21:11,060 --> 01:21:13,740

the Google business isil diga estas impresas

:

01:21:14,290 --> 01:21:17,149

er sibuscando resas quemanehem machinaria

:

01:21:18,299 --> 01:21:18,629

um

:

01:21:19,009 --> 01:21:20,970

nauttica aliotesel pero

:

01:21:21,640 --> 01:21:24,910

um no ands no seno the seriacommospecular mucho perojono

:

01:21:24,910 --> 01:21:30,879

croquembuenaventura cartagena santanguisiosos parao claro pora nos carlos con

:

01:21:31,029 --> 01:21:31,040

con.

:

01:21:31,990 --> 01:21:32,819

On Google

:

01:21:34,779 --> 01:21:37,229

Isa isi classific carlo de lebuo busquemelos

:

01:21:37,229 --> 01:21:42,319

la la latiturong desas imprezasi yaga processo pero

:

01:21:44,290 --> 01:21:44,990

seria solamente laquetinen

:

01:21:46,040 --> 01:21:48,649

uh Google Dilos cancido huisiosos yanjena was and toda is

:

01:21:48,759 --> 01:21:48,779

is no

:

01:21:49,589 --> 01:21:49,600

no.

:

01:21:52,439 --> 01:21:53,209

Peralgo mixto

:

01:21:53,609 --> 01:21:53,620

yes

:

01:21:54,350 --> 01:21:55,919

2 tengas un applicative and on the

:

01:21:56,379 --> 01:21:57,649

gas esta busquedas.

:

01:21:58,939 --> 01:22:00,950

It las almasene unaaseattos

:

01:22:01,569 --> 01:22:05,020

las queten and Google business with the jenema unabelatula longitude

:

01:22:05,870 --> 01:22:07,830

estaotrasquemen contre pueno la tienne

:

01:22:08,810 --> 01:22:12,120

peo er puelas puedo complementar parkqueme pueda er

:

01:22:12,830 --> 01:22:12,890

construir

:

01:22:13,850 --> 01:22:16,799

er conlimo Google maps the sillemireetiennesa direction.

:

01:22:18,140 --> 01:22:19,290

For our conciamela la la

:

01:22:20,770 --> 01:22:25,169

la tsapea imperito paracetiporezas quenosio

:

01:22:25,169 --> 01:22:26,979

huisiosas in notinel Google business.

:

01:22:30,359 --> 01:22:32,629

Quesoires metamola direction ikea Google

:

01:22:32,629 --> 01:22:35,140

Business Cardon Google Maps engen contrar

:

01:22:35,580 --> 01:22:36,339

er don desta

:

01:22:37,560 --> 01:22:41,299

er perosize pore algosico mixo que queque demasirandolos quetengogo

:

01:22:42,000 --> 01:22:45,359

tintoform illos quenoti listo mela jalmala atos

:

01:22:45,359 --> 01:22:49,029

peroques mediramire por our temela ion deta desta

:

01:22:50,009 --> 01:22:50,970

reza quenola tengo

:

01:22:51,560 --> 01:22:53,120

jala you need me any

:

01:22:54,750 --> 01:22:55,370

cinema.

:

01:22:55,870 --> 01:22:56,189

Uh,

:

01:22:56,200 --> 01:22:56,319

no,

:

01:22:56,430 --> 01:22:57,229

I could summarize you.

:

01:22:57,520 --> 01:22:58,649

You have to go because no,

:

01:22:58,720 --> 01:22:58,759

no,

:

01:22:58,839 --> 01:22:58,890

no,

:

01:22:59,859 --> 01:22:59,870

uh,

:

01:23:00,279 --> 01:23:01,720

so I'll I can answer any questions.

:

01:23:02,399 --> 01:23:02,410

Yeah,

:

01:23:02,439 --> 01:23:02,450

yeah,

:

01:23:02,479 --> 01:23:05,750

I was going to tell you a really quick last thing I want to ask him.

:

01:23:14,529 --> 01:23:18,810

Que quenostrao apoder explorara possibliad

:

01:23:19,209 --> 01:23:22,680

mental al explorala possibilidad no da no

:

01:23:22,680 --> 01:23:25,750

sotros una experiencia de loque possibly.

:

01:23:26,669 --> 01:23:26,680

Uh,

:

01:23:26,689 --> 01:23:30,490

loqueno possible pesara crearum plan se

:

01:23:30,490 --> 01:23:33,850

a mixto loqueseaire to the artampopocerque

:

01:23:34,529 --> 01:23:34,990

el Latino American noise

:

01:23:36,399 --> 01:23:42,109

uicomuncala compania util serviso pero er crearum mapa para.

:

01:23:44,040 --> 01:23:46,350

Ve be como podemos utilisara ramentas

:

01:23:46,990 --> 01:23:47,339

uh

:

01:23:47,450 --> 01:23:47,620

uh

:

01:23:48,569 --> 01:23:49,629

maja delante verdanto says mixto

:

01:23:53,029 --> 01:23:56,069

er loque intends sino is sierron el travajo

:

01:23:56,069 --> 01:23:59,109

de registral and Google business no estan verna.

:

01:23:59,740 --> 01:23:59,750

Uh,

:

01:24:02,120 --> 01:24:12,569

laser commero Colombia la ramos pues las pores

:

01:24:13,799 --> 01:24:16,169

and tosendriamos er podiamo medir.

:

01:24:19,620 --> 01:24:19,660

Elmore

:

01:24:30,359 --> 01:24:30,430

directions you know uh

:

01:24:33,220 --> 01:24:35,839

uh Google Maps direction for localism.

:

01:24:39,839 --> 01:24:40,430

OK,

:

01:24:40,689 --> 01:24:41,080

OK,

:

01:24:41,359 --> 01:24:41,600

so yeah,

:

01:24:41,930 --> 01:24:42,040

Seva,

:

01:24:42,160 --> 01:24:42,879

so he spoke

:

01:24:47,080 --> 01:24:48,240

so he's saying that yes,

:

01:24:48,339 --> 01:24:50,910

that he's worked with customers,

:

01:24:51,160 --> 01:24:54,009

mostly in logistics and planning out routes for

:

01:24:55,970 --> 01:24:56,680

for their customers,

:

01:24:57,160 --> 01:24:58,020

their customers

:

01:24:58,240 --> 01:24:59,160

and using.

:

01:25:00,620 --> 01:25:02,379

Using the CRM,

:

01:25:03,080 --> 01:25:03,100

right?

:

01:25:03,740 --> 01:25:04,859

And based on that CRM,

:

01:25:04,939 --> 01:25:06,919

then they plan out routes,

:

01:25:08,500 --> 01:25:10,299

from the salesperson's point of view,

:

01:25:10,339 --> 01:25:12,939

and then maximize obviously fuel efficiency,

:

01:25:13,020 --> 01:25:13,359

time,

:

01:25:13,660 --> 01:25:13,759

everything,

:

01:25:13,850 --> 01:25:14,220

right?

:

01:25:15,580 --> 01:25:21,680

So it's a matter of using the Google's APIs,

:

01:25:21,779 --> 01:25:22,259

right?

:

01:25:22,740 --> 01:25:23,939

And there's different APIs.

:

01:25:24,064 --> 01:25:24,865

For different things,

:

01:25:24,875 --> 01:25:26,154

and it's based on points.

:

01:25:26,274 --> 01:25:28,375

There's a free amount,

:

01:25:28,634 --> 01:25:29,064

obviously,

:

01:25:29,115 --> 01:25:29,895

you know that,

:

01:25:30,754 --> 01:25:31,265

when you go up,

:

01:25:31,314 --> 01:25:32,174

but he says that

:

01:25:32,714 --> 01:25:33,404

he hasn't had,

:

01:25:33,475 --> 01:25:33,834

I mean,

:

01:25:34,075 --> 01:25:35,845

to go above:

:

01:25:35,944 --> 01:25:39,265

but I mean he doesn't understand the business at full scale.

:

01:25:40,404 --> 01:25:40,415

Yeah,

:

01:25:40,515 --> 01:25:41,515

but it could be done.

:

01:25:41,634 --> 01:25:41,915

Now,

:

01:25:43,104 --> 01:25:47,495

he specified about Colombia using this use case specific to the use case.

:

01:25:48,120 --> 01:25:51,200

He says that normally if Google Business,

:

01:25:51,439 --> 01:25:55,000

if the company has not taken the time to register in Google Business,

:

01:25:55,080 --> 01:25:56,379

they would not be there.

:

01:25:57,560 --> 01:25:57,850

OK.

:

01:25:58,160 --> 01:25:58,879

So then

:

01:25:59,160 --> 01:26:01,779

the idea is to use a mix

:

01:26:02,160 --> 01:26:03,100

type of approach.

:

01:26:04,080 --> 01:26:07,370

Where we could look to see what's in Google Business

:

01:26:07,370 --> 01:26:10,729

and then do something with the Chamber of Commerce,

:

01:26:10,870 --> 01:26:12,169

Columbia Chamber of Commerce,

:

01:26:12,410 --> 01:26:14,240

and then filter that information,

:

01:26:14,569 --> 01:26:15,910

then we would get a better,

:

01:26:16,029 --> 01:26:16,200

um.

:

01:26:17,370 --> 01:26:18,879

So something like that could be done.

:

01:26:19,640 --> 01:26:21,430

What is the next steps we can do?

:

01:26:22,689 --> 01:26:23,000

OK,

:

01:26:23,089 --> 01:26:23,609

and to say,

:

01:26:23,720 --> 01:26:23,790

uh,

:

01:26:23,979 --> 01:26:26,129

so you understood everything I understood,

:

01:26:26,259 --> 01:26:26,439

yes.

:

01:26:29,910 --> 01:26:32,140

que paso area

:

01:26:33,109 --> 01:26:33,620

um

:

01:26:34,520 --> 01:26:36,569

Jodesporiacoti are conomienten dimiento

:

01:26:37,390 --> 01:26:37,799

aser asernacoticom demiento

:

01:26:39,370 --> 01:26:42,250

er decis cuanto tiempoer meto maria cerlo

:

01:26:42,250 --> 01:26:45,859

er las digamola characteristicas the del desarrojo and

:

01:26:46,060 --> 01:26:47,450

and queen que technologia

:

01:26:48,279 --> 01:26:52,500

er lesser iairte informacionokque gamodon devacorre cuaralel hosting

:

01:26:52,500 --> 01:26:53,919

and on the and on the tendjaque corre.

:

01:26:54,839 --> 01:26:55,689

Um

:

01:26:56,839 --> 01:26:59,569

Iair and relida cuanto tiempopodia tener listos

:

01:27:00,129 --> 01:27:02,339

is a primeretapa quejola pensaria como tule

:

01:27:02,339 --> 01:27:04,370

fanste quesa mixo condas camara de commercio

:

01:27:04,779 --> 01:27:06,240

and on the er

:

01:27:07,080 --> 01:27:09,540

Teaga consultas er uh

:

01:27:10,049 --> 01:27:12,560

a traves the Google uh los quetengan el el

:

01:27:13,149 --> 01:27:18,189

el Google business bien diriencia iquetamse pua cargarcon excel oconarchio plano

:

01:27:18,189 --> 01:27:25,720

er naseria deresascona directionesiqueel google maps and carge de contrauales la

:

01:27:26,140 --> 01:27:28,689

ladul longitude direction this is this is er yeah

:

01:27:30,330 --> 01:27:32,209

Joe atrave dendres in the muncayo

:

01:27:32,750 --> 01:27:36,290

les emberia er lacotizacioneltiapoque quetaaria.

:

01:27:37,500 --> 01:27:37,689

Listo

:

01:27:42,970 --> 01:27:44,490

commerce pasha

:

01:27:47,399 --> 01:27:52,209

la la podria bucar or comoseria

:

01:27:53,459 --> 01:27:53,899

is aparte mixta.

:

01:27:54,790 --> 01:27:55,379

Ah we not

:

01:27:56,620 --> 01:27:57,759

Uno puea la camarecomo

:

01:27:58,649 --> 01:28:01,709

unina solicitu del tipo and a bueno so dependendeno.

:

01:28:02,890 --> 01:28:05,740

Porquela molascamara de commercio the the cali tenra informacion

:

01:28:06,729 --> 01:28:09,299

was a tiamente cainosseiel problem in el

:

01:28:10,080 --> 01:28:11,359

er entons er

:

01:28:11,979 --> 01:28:15,959

ejo entreganao informacioniclaro seporientoses cargarto as information

:

01:28:17,149 --> 01:28:18,069

um.

:

01:28:19,890 --> 01:28:19,899

I

:

01:28:20,470 --> 01:28:22,580

the sepo inclusive agmolo planteasi

:

01:28:23,160 --> 01:28:26,299

uesel desa rojoque permita bucarenesa en

:

01:28:26,839 --> 01:28:28,299

enesa informacion ya carga

:

01:28:29,339 --> 01:28:33,620

er er loquetu is for portico resa porticosa viqueorese

:

01:28:34,729 --> 01:28:39,359

er er filtra is irle queerroirasaresasiquelata is a

:

01:28:40,169 --> 01:28:40,459

otrabuena.

:

01:28:41,669 --> 01:28:41,910

Uh,

:

01:28:42,029 --> 01:28:42,740

for Maya cerlo

:

01:28:43,169 --> 01:28:43,419

pero

:

01:28:44,520 --> 01:28:44,819

ka ka

:

01:28:46,049 --> 01:28:46,609

um

:

01:28:47,979 --> 01:28:52,069

Departamento o municipen Colombia puesine sucamare commercitocari like

:

01:28:52,069 --> 01:28:54,509

he like cartagena puesto car and cartagena conseguirreza

:

01:28:55,509 --> 01:28:58,330

is outer informacion que ellan trea uno demayaital

:

01:28:59,839 --> 01:29:00,310

er

:

01:29:00,910 --> 01:29:01,370

bueno

:

01:29:02,140 --> 01:29:05,669

astaquere asta loqueorecuerdoo seorita then the fronte mechanisms

:

01:29:06,529 --> 01:29:11,609

and pueda le penentregarron informacionnet seratambi er interesante

:

01:29:12,770 --> 01:29:12,810

aveguar.

:

01:29:13,529 --> 01:29:14,709

Inclusive pote

:

01:29:15,379 --> 01:29:20,029

apiques connected respond seria solo poreaguporigu.

:

01:29:22,040 --> 01:29:26,850

See scare commercio um commerciombiaotocatoca

:

01:29:35,350 --> 01:29:38,419

I barrias reque pasque cabara de commercio locales pero de

:

01:29:38,419 --> 01:29:43,160

pronto unaa esta la camare commercio de technologia insaciaarcatoa Colombia

:

01:29:43,620 --> 01:29:45,979

the prontopar sector quite manjan they are

:

01:29:45,979 --> 01:29:49,149

the protuaquare commercio pero perosi tocas primero investigar

:

01:29:49,540 --> 01:29:50,180

um.

:

01:29:50,910 --> 01:29:54,729

Porque civas ala camara commercial cali tentregan toda las reso

:

01:29:54,729 --> 01:29:59,970

de calia eraser reso de technologia todas todas equate prontoi

:

01:30:01,049 --> 01:30:02,930

which quenote no it's relevante

:

01:30:05,970 --> 01:30:14,629

commercio de Colombiaqueraque perono and bogota croque era ta physio era.

:

01:30:15,580 --> 01:30:15,589

Uh,

:

01:30:16,430 --> 01:30:27,720

centralles no caso de lao pero eslagogotacomendres existes porciudades

:

01:30:28,950 --> 01:30:31,620

peros and curettambiener tares

:

01:30:32,620 --> 01:30:33,229

no sei

:

01:30:33,959 --> 01:30:38,120

de repente un unerea un organization combo ins specific.

:

01:30:39,589 --> 01:30:39,609

Well I

:

01:30:44,299 --> 01:30:48,040

see Cro pretend I don't I care less specific I look in the pressas

:

01:30:48,779 --> 01:30:50,720

now eras peru now eras quea

:

01:30:51,250 --> 01:30:51,759

transporting carga

:

01:30:52,580 --> 01:30:54,750

now erascaga mantenniento the the

:

01:31:01,470 --> 01:31:02,819

una una commercio marina puertociaventura Puerto Martua

:

01:31:13,890 --> 01:31:15,040

logistica provedo esta

:

01:31:16,029 --> 01:31:16,060

da

:

01:31:18,120 --> 01:31:18,160

ta la.

:

01:31:19,839 --> 01:31:20,140

Lafia Naviera

:

01:31:23,330 --> 01:31:24,689

Meterranean Mediterranean Shipping Company

:

01:31:26,229 --> 01:31:27,779

Pesareason navieras

:

01:31:38,189 --> 01:31:38,370

punto.

:

01:31:39,290 --> 01:31:42,229

10 la socia porttuaria estaastolaredas

:

01:31:42,959 --> 01:31:42,979

correct

:

01:31:44,060 --> 01:31:44,089

I'm,

:

01:31:44,100 --> 01:31:44,470

I'm in

:

01:31:45,540 --> 01:31:51,950

uh porque sequeerendal

:

01:31:52,589 --> 01:31:53,220

see there's a quintendal

:

01:31:54,240 --> 01:31:59,410

you intend podierto Colombia peru tar sto

:

01:32:01,319 --> 01:32:01,430

the

:

01:32:01,540 --> 01:32:01,870

the

:

01:32:02,310 --> 01:32:02,350

the porque.

:

01:32:02,620 --> 01:32:02,950

I,

:

01:32:03,259 --> 01:32:04,020

I come out of the commercials in

:

01:32:04,879 --> 01:32:05,339

in.

:

01:32:06,250 --> 01:32:07,450

And on people the the pesa

:

01:32:07,740 --> 01:32:10,750

is a guamentesi tala cabara commercioistico seguament existing

:

01:32:11,709 --> 01:32:15,430

seguamentexisti tantors compania deloisticadigamosel

:

01:32:15,430 --> 01:32:22,200

reme consequequitambien um.

:

01:32:23,339 --> 01:32:24,359

Um,

:

01:32:24,939 --> 01:32:25,100

see,

:

01:32:25,109 --> 01:32:28,500

loqueviamoquerado de puedeir porqueosino

:

01:32:28,500 --> 01:32:30,299

departamento in paragente international.

:

01:32:33,740 --> 01:32:33,759

Er,

:

01:32:33,770 --> 01:32:35,759

peroquemojaguar funa er

:

01:32:36,759 --> 01:32:45,310

la la la differente parapoo and to bueno osemojai us

:

01:32:46,979 --> 01:32:49,330

ustele manda is informacion andreja uh.

:

01:32:51,729 --> 01:32:52,129

OK,

:

01:32:52,319 --> 01:32:52,330

I

:

01:32:53,580 --> 01:32:53,750

I de tomaneras,

:

01:32:53,759 --> 01:32:54,359

er,

:

01:32:56,700 --> 01:33:03,810

she quescuando tenga tema alcon con rosa has er de lamosa tenerel espaio

:

01:33:04,540 --> 01:33:04,939

pelo egoo the

:

01:33:05,600 --> 01:33:14,040

the splicarquesbo directamentelaener rosa cuando andresa reengala propuesta.

:

01:33:14,580 --> 01:33:15,580

That's almost 300,

:

01:33:15,640 --> 01:33:15,649

no,

:

01:33:16,600 --> 01:33:16,609

see

:

01:33:18,479 --> 01:33:20,399

and er paracuando andres galasa

:

01:33:21,709 --> 01:33:23,729

escria mosaaa.

:

01:33:27,459 --> 01:33:27,930

OK,

:

01:33:39,779 --> 01:33:40,290

OK.

:

01:33:42,569 --> 01:33:42,890

OK,

:

01:33:43,049 --> 01:33:44,310

I think I think we're fine,

:

01:33:44,580 --> 01:33:44,770

Sunniba,

:

01:33:44,890 --> 01:33:45,649

he explained,

:

01:33:45,729 --> 01:33:46,189

so he'll put together and kind of

:

01:33:48,089 --> 01:33:49,169

let us know.

:

01:33:49,669 --> 01:33:49,680

Um,

:

01:33:50,569 --> 01:33:50,970

yeah,

:

01:33:51,290 --> 01:33:53,310

it's so worth exploring.

:

01:33:53,689 --> 01:33:53,810

Yeah,

:

01:33:54,009 --> 01:33:55,770

one of the things is our timeline is,

:

01:33:55,850 --> 01:33:56,089

is,

:

01:33:56,160 --> 01:33:56,520

uh,

:

01:33:56,529 --> 01:33:56,859

fast,

:

01:33:57,009 --> 01:33:57,359

so

:

01:33:57,959 --> 01:34:02,549

anything we can do quickly is better to start and then we can expand from there.

:

01:34:03,759 --> 01:34:04,990

See anto tempo

:

01:34:07,379 --> 01:34:07,560

at the end of tempo.

:

01:34:08,859 --> 01:34:13,810

Er el dioque noestra er er linea tierra pida peron no

:

01:34:13,810 --> 01:34:19,330

solamente para projecto este and sino ellos abulando in cuantoa and pesar

:

01:34:19,770 --> 01:34:21,049

porque sepo explorara

:

01:34:23,080 --> 01:34:24,979

aversijuna manera viable ejal organico

:

01:34:24,979 --> 01:34:28,600

questamojaciendo para studia la possiblida porquepode

:

01:34:28,600 --> 01:34:32,350

cerque Colombiao tengaon disaster in cuanto

:

01:34:32,350 --> 01:34:34,350

agravari informacion berda Hondura disaster.

:

01:34:36,250 --> 01:34:38,000

And to says er estamojacostum bravado.

:

01:34:42,339 --> 01:34:52,850

I risepoder arm comode cirque la parte mixtasea de loquenojnamo

:

01:34:52,850 --> 01:34:57,279

supported delo mixto ma grande la soloque nosaemo as an er

:

01:34:57,660 --> 01:34:58,290

que possi

:

01:34:59,319 --> 01:34:59,669

penojo.

:

01:35:02,589 --> 01:35:03,169

Um.

:

01:35:06,089 --> 01:35:06,100

See

:

01:35:08,830 --> 01:35:12,259

sar queloqueno queloqueno puear

:

01:35:13,299 --> 01:35:18,029

estado and elestadado actual sinusarnada mixto para pesara deci OK

:

01:35:19,990 --> 01:35:21,870

no dio algoba factively.

:

01:35:22,620 --> 01:35:23,009

Mhm.

:

01:35:23,129 --> 01:35:23,500

OK.

:

01:35:24,970 --> 01:35:28,970

Perobuo una pregguta porquesiooria como investigarumpocomas soretojetema apis

:

01:35:31,040 --> 01:35:32,379

qualseria el el

:

01:35:33,069 --> 01:35:33,939

el

:

01:35:34,229 --> 01:35:37,589

el foco indusia steel busca para quesis nacamara

:

01:35:37,589 --> 01:35:42,319

commercial tinoapilio alorsolimos pero or pero es palquiertipo industria

:

01:35:42,870 --> 01:35:46,709

maritima porqueporemplo tenia Mediterranean Mediterranean is transporte carga

:

01:35:48,160 --> 01:35:48,649

correct so

:

01:35:49,259 --> 01:35:51,430

pero digamosqueloquemburatua.

:

01:35:51,979 --> 01:35:56,220

No simientosinos implemente

:

01:36:02,629 --> 01:36:04,720

oste porque estabudo

:

01:36:06,319 --> 01:36:15,680

porqueloqueno samosremploidososo samos um basa des queregena unidos

:

01:36:16,560 --> 01:36:19,250

er yo classific industriaeru organisada.

:

01:36:20,399 --> 01:36:24,759

And to ela industrial hemplo marina econocidamola industrial marina

:

01:36:25,799 --> 01:36:29,009

pero puede cirque colombia la indusa marina seon industrial

:

01:36:29,709 --> 01:36:34,020

pero e yose parenporejemplo la logisticabajotra

:

01:36:34,529 --> 01:36:37,660

que camera commercialdo

:

01:36:39,379 --> 01:36:42,160

perobuo um the camoque industrial la

:

01:36:42,160 --> 01:36:45,339

camara commercial ladies industrial lady sotracosa.

:

01:36:45,779 --> 01:36:46,580

Um,

:

01:36:46,779 --> 01:36:46,790

no,

:

01:36:47,799 --> 01:36:48,200

um,

:

01:36:48,379 --> 01:36:53,279

I know napalareraissima semolvidoitaaarito.

:

01:36:54,799 --> 01:36:54,819

Solo

:

01:36:55,740 --> 01:37:04,040

bueno eiss the cubeo entose um esos normalmentejoarmo unarbo the

:

01:37:04,040 --> 01:37:05,970

lineformacion and tosebeo ok estavacedao

:

01:37:05,970 --> 01:37:09,259

esta la maneracom morganisa la industria

:

01:37:10,259 --> 01:37:13,919

verda and toss anosourno interresa la industria marina defintivamente

:

01:37:14,970 --> 01:37:15,399

pero.

:

01:37:16,740 --> 01:37:18,680

No poresarla industria degeneracion delecia.

:

01:37:21,939 --> 01:37:22,290

Pero tengo

:

01:37:24,379 --> 01:37:29,319

unarbda unarbogenico de comosa organisa

:

01:37:29,319 --> 01:37:35,899

hindustamentotengua des pesara travajasa serials.

:

01:37:38,479 --> 01:37:40,600

Eonaiola marina te cubria

:

01:37:41,540 --> 01:37:46,609

agracalado's a commounico.

:

01:37:47,600 --> 01:37:49,220

Laonica sonaris pero

:

01:37:56,009 --> 01:37:57,810

esta Latino America Colombiato Colombia and

:

01:38:03,490 --> 01:38:07,620

una buena que Colombian trelo paise bao loque.

:

01:38:11,020 --> 01:38:12,410

Mason and el almacenamiento deformacion p and so.

:

01:38:14,129 --> 01:38:15,339

Honduran on disaster and right now.

:

01:38:17,370 --> 01:38:17,810

Yeah,

:

01:38:18,009 --> 01:38:18,439

OK,

:

01:38:18,689 --> 01:38:19,109

OK,

:

01:38:21,009 --> 01:38:24,299

to marina definitivamente marinapoora ayota induce pro

:

01:38:24,299 --> 01:38:29,069

parareeste projecto can permitted render explorer impesara

:

01:38:30,250 --> 01:38:31,270

uh uh

:

01:38:31,830 --> 01:38:33,770

uh aver como estola structura la marina

:

01:38:33,770 --> 01:38:37,149

is exactamente a uncaso real questa quetenemojaura.

:

01:38:38,799 --> 01:38:39,270

OK.

:

01:38:40,600 --> 01:38:40,950

OK,

:

01:38:41,000 --> 01:38:41,240

perfect.

:

01:38:45,759 --> 01:38:57,979

So 00 seria sergesereme seose no sale de marina perosale bajoa

:

01:38:59,839 --> 01:39:06,529

esta lasando laser tacos per porta porque

:

01:39:07,779 --> 01:39:11,709

percentage and la logistic minimo marina locuri

:

01:39:14,240 --> 01:39:14,529

I guess exactova.

:

01:39:15,810 --> 01:39:15,970

It,

:

01:39:16,009 --> 01:39:16,209

it,

:

01:39:16,319 --> 01:39:16,509

yeah.

:

01:39:17,520 --> 01:39:17,910

Mm

:

01:39:19,040 --> 01:39:19,520

So I,

:

01:39:19,609 --> 01:39:19,879

uh,

:

01:39:20,000 --> 01:39:21,500

I'm working on the CRM.

:

01:39:22,149 --> 01:39:24,459

So once you're ready I can integrate.

:

01:39:25,000 --> 01:39:25,700

No problem.

:

01:39:33,240 --> 01:39:33,439

We have,

:

01:39:33,560 --> 01:39:34,319

we have our own,

:

01:39:34,600 --> 01:39:35,180

we have,

:

01:39:35,189 --> 01:39:35,470

uh,

:

01:39:35,479 --> 01:39:36,859

open source CRM that,

:

01:39:37,359 --> 01:39:37,879

that I,

:

01:39:37,939 --> 01:39:40,899

I have stood up so I can integrate with anything.

:

01:39:41,939 --> 01:39:42,129

No It's a,

:

01:39:42,850 --> 01:39:43,279

uh,

:

01:39:43,540 --> 01:39:52,220

sato el quetien unsere de codiguavierto que quela integrado quetenga

:

01:39:53,709 --> 01:39:57,020

listo er er no problema podemo integraloquequeramos.

:

01:39:58,250 --> 01:39:58,839

OK.

:

01:39:59,120 --> 01:39:59,560

Perfect.

:

01:40:02,479 --> 01:40:03,120

OK,

:

01:40:03,600 --> 01:40:04,000

OK,

:

01:40:05,319 --> 01:40:05,600

thank you,

:

01:40:05,680 --> 01:40:05,810

Andre,

:

01:40:05,819 --> 01:40:05,839

thank you.

:

01:40:09,450 --> 01:40:21,799

See loquetu queer sarcomacajana pesajaquesajonovistoformacion de

:

01:40:21,799 --> 01:40:25,419

Colombia la estaia revela Colombia no

:

01:40:26,149 --> 01:40:28,310

pero pero pueola industrial la conovieni

:

01:40:29,350 --> 01:40:31,040

puedo intender sierta cosa una como classific soretola industrial.

:

01:40:36,240 --> 01:40:36,700

OK,

:

01:40:37,259 --> 01:40:41,100

que grameiaque muchocolo masconlo histicaota.

:

01:40:44,350 --> 01:40:48,100

Pelo logistica transporte porque sammeterranean esuna

:

01:40:48,629 --> 01:40:49,350

naviera.

:

01:40:50,290 --> 01:40:50,310

Just seen

:

01:40:51,049 --> 01:40:52,720

barcos quevieny recohen

:

01:40:54,060 --> 01:40:54,220

carga

:

01:40:55,109 --> 01:40:55,160

uh-huh

:

01:40:55,660 --> 01:40:57,979

peron peron nose peloquetendrannaki

:

01:40:58,890 --> 01:41:01,419

diga mosque the manteriniento equipos

:

01:41:01,919 --> 01:41:03,700

joocroque or not tienne

:

01:41:05,069 --> 01:41:05,270

or

:

01:41:06,899 --> 01:41:08,560

or osi ou basico my basico pero meteran

:

01:41:09,560 --> 01:41:14,299

una naviera loquenotra ja I'm a via kiques on transportador de carga is basicamente

:

01:41:15,810 --> 01:41:15,830

is it.

:

01:41:16,310 --> 01:41:23,310

Losesante verdon desbajoque industrial kinds class canola indusas

:

01:41:23,959 --> 01:41:25,859

sia una camare commercio de la industria

:

01:41:25,859 --> 01:41:29,910

marina yo croque sala queva but sombria mahanlia

:

01:41:31,189 --> 01:41:37,209

decala compania de loa a carlos Puerto de carlos mechanico Pacifico has a sonar.

:

01:41:42,450 --> 01:41:48,339

Valleos escudo pea peas andres me cuente les les digos pararemus

:

01:41:50,549 --> 01:41:50,870

OK

:

01:41:52,140 --> 01:41:52,629

thank you thank you thank you.

:

01:41:52,689 --> 01:41:52,919

Thank you.

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