For this month's Retail Tech Startup of the Month, AWS's Daniele Stroppa returns to spotlight SymphonyAI, a groundbreaking computer vision solution that's improving how retailers tackle the costly out-of-stock problem.

SymphonyAI leverages existing in-store cameras to deliver something retailers have been missing: actionable, prioritized worklists that tell associates exactly what to fix first to maximize sales impact. No more drowning in dashboards, just clear direction that drives results. Daniele breaks down how retailers are achieving 25% increases in labor productivity and 5-7% improvements in on-shelf availability, proving this isn't just another tech demo, it's a boon for physical retail operations.

🔑 Topics covered:

• How SymphonyAI turns existing cameras into intelligent inventory systems
• The critical difference between insights and actionable intelligence
• Why prioritization matters more than detection
• Real results: 20% lower infrastructure costs, 25% productivity gains
• The shift from reactive to predictive AI-driven store operations

🎧 Don't forget to like, comment, and subscribe for more retail tech insights!

#computervision #retailtech #symphonyai #aws #retailinnovation #smartstores #inventorymanagement #omnitalk #retailpodcast #retailai

Sponsored Content

Foreign.

Let's give a big Omnitalk welcome back to AWS's Daniele Stropa to hand out this month's Retail Tech Startup of the Month award.

Daniela is the worldwide technical lead for AWS Partners in Retail at Amazon Web Services, where he drives a technical strategy for AWS Partners in Digital commerce, customer engagement, and generative AI.

Danelli, it's always great to have you back.

I think this is what, your sixth time handing out this award with us.

It is, it is, yeah.

Wow.

Time, time flies and.

All right, well, without further ado, who is November's Retail Tech Startup of the Month?

Right.

So, Chris, this month I'm really excited to talk about Symfony AI and that is Symphony AI dot com.

Danelli, thank you so much.

We're so excited to hear more about Symphony AI.

So tell our audience and Chris and myself, what is it that they do and what really sets them apart from some other players in the AI space?

Basically, they enable retailers through a computer vision solution that can be deployed in their physical stores, in their retail stores.

And they leverage existing cameras, existing networks there, and really provide the retailers there with actionable items to address the out of stock issue, the out of stock problem.

So instead of just providing a set of dashboards and insights that you can look at, you actually know what to do and exactly what needs to be fixed first in order to maximize sales impact.

That's really, for me, the difference between knowing that there is a problem and knowing what to do to address it and how to solve it.

So when you see retailers that can achieve 25% increase in productivity, labor productivity, and at the same time improve on shelf availability by 5 to 7%, you know that this is a technology that actually works in a real world scenario.

Yeah.

And Danielle, I mean, I imagine once they have clear inventory visibility, they're getting this real time data then from the cameras that already exist in their stores, they're able to prioritize tasks, like you said, to make the most impact in the stores.

But what do you think some of the longer term implications of this technology will be across retail and as this continues to get smarter?

I think we are at a point now where we're seeing a transformation in retail operations moving from the reactive store management approach to a predictive AI driven operation.

And really, Symfony AI is right there at the forefront of this transformation.

Right.

And I think the way they are addressing some of the challenges, some of the tension that you see with retailers struggling today, things like labor cost and customer expectations, I think that's really the key here.

Right.

So their computer vision technology detects issues that shelves issues in real time and delivers a prioritized work list so that the team can really focus on those highest impact problems first and address that by priority.

A large retailer, one of their customer, a large retailer achieved 20% lower infrastructure cost while personalizing planograms across over 300 stores.

This is not a small improvement, it's not just an incremental improvement, but it's really a transformational change that can reimagine, that can transform physical retail operations.

So Daniele, let's get you out of here on this because the one thing that's going through my head and I take a lot of pride in, there's a lot of computer vision based systems out there.

You know, you can use fixed cameras, you can use robotics and you know, we take a lot of pride in saying there's no one right solution for any brand or retailer out there because every brand or retailer is different.

And I don't think based on what you're saying, it's.

It's a mutually exclusive approach either.

Do you agree with that?

And then what is the value you would tell retail executives to looking at something like a symphony AI for their fixed position camera systems?

I agree.

I don't think there is one.

One solution that solves everything.

There's no silver bullets.

Right.

So I think the differentiation here for symfony that there are unique point here is really that actionable item that prioritize actionable work list.

Exactly.

This is not just okay, yeah, we have some out of stock in 1, 2, 3, whatever.

Right.

But it's really okay.

These are the items that we need to fix first in order to maximize the impact in order to maximize sales.

Which is a great point because for technology to be successful, it also has to work within the process flow of the organization that's adopting it too.

So.

All right, well, thanks, Danielle.

Thank you.