Hi, I'm Clare Bailey, founder of Retail Champion.

Let me tell you about an email that made me lose trust in a brand overnight. I'd bought several pairs of shoes online. Two days later, a cheerful 50% off email landed in my inbox — for the exact pairs I'd just bought. No acknowledgement. No credit. No apology. Just a pricing algorithm doing its job, and a customer (me) quietly deciding I'd never shop there again.

That's the quiet war playing out in retail right now — and it's what this episode is all about.

This is Part Two of our three-part mini-series on discounting, data, and escaping the middle market trap. In this episode, I unpack what I'm calling the retail battleground: the tension between data-led pricing, automation and customer trust. Because tech is powerful. But the moment it starts overriding human judgement, it begins eroding the one thing retailers can't afford to lose — trust.

What We Cover

• Why pricing is no longer stable — and what that does to customer perception

• The difference between logical discounting and "wobbly" pricing that feels unfair

• How AI, dynamic pricing and electronic shelf-edge labelling can quietly cross the trust line

• Why data is a tool, not a strategy — and the costly mistake of confusing the two

• The three anchors every retailer needs right now: clarity, consistency and control

• Why your brand is not a system output

Key Takeaways

• Trust is slow to build and devastatingly fast to lose

• Data should guide decisions, never replace experience, instinct and judgement

• Fairness is quietly becoming one of retail's rarest — and most powerful — competitive advantages

• Pricing logic matters as much as the price itself

• Retail has never been about transactions. It's always been about relationships

Resources & Links

• Free retail playbooks: www.theretailchampion.co.uk/retail-playbooks

• Newsletter & Clarity Scorecard Quiz updates: www.retailreckoningpodcast.co.uk/newsletter

• The Retail Champion: www.theretailchampion.co.uk

• Other episodes: www.retailreckoningpodcast.co.uk

• Subscribe to Retail Reckoning wherever you get your podcasts

Connect & Share

If this episode made you look differently at your pricing, data or tech stack, I'd love to know. Leave a review, share it with a fellow retailer, or come and find me on social. Let's keep the conversation going.

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Tech is great, but it can't really replace retail strategy and that

human touch that makes the world of difference. And if that does happen,

you're risking losing customer trust along with their loyalty and spend

I'm going to unpack this in this episode, which is part two of a three

part series focusing on discounting data and how to

escape the middle market trap.

So if you heard episode one, you may or may not know that this three

part series is going to be supported by a free downloadable resource

and a free retail clarity quiz with some

recommendations and follow up, but I'll explain more about that at the

end. This episode particularly focus on what I'm

calling the retail battleground. It's the healthy tension between

pricing data and trust. Now to recap, in the

last episode talked about the uncomfortable truth that cheap is

winning. And what that really means is margins are under so much pressure

across every part of retail. But then there's a second layer, isn't

there? Because if pricing pressure is what you see on the surface, what's

happening underneath is much more structural. And we covered the fact that pricing is

changing. It's not just about promotions and markdowns, but it's about the

way that the customers are making decisions in the first place.

And that's where we have to start taking that mental

shift from retail as we know it to something more complex.

And we're going to explore that shift. There's a lot of stuff out there

about data LED pricing, dynamic systems,

shelf edge labeling that mean that you can do real time

price optimization. And we all know it happens in travel

with flights and trains, but it isn't really something that happens

typically in retail. Now all of this has been designed to improve

performance, but it raises a really important question. What

happens to consumer trust when pricing stocks feeling

predictable? I'll give a little example. I happened to buy some shoes

online a couple of weeks ago and a few days later

I got an email now that I was subscribed to their email list telling

me that two of the pairs I'd bought were 50% off. And I

was like to be honest, if you're going to discount something that

suddenly, then perhaps it would be nice to have said and because

of that we're giving you a credit because we know you've only just

bought some. But that didn't happen. And I covered that in a topic

about the Boxing Day sales in a podcast previously

about how it's really hard to get customers

to trust that the price isn't going to drop and to part with their

money because they expect pricing to move

around. Now, when we get to the final episode of this series, I'm going to

pull all this together. But it's all to do with pricing is changing and the

pressure on businesses is rising and it results in

quite a few ending up something that they didn't intentionally choose to be

kind of stuck in the middle. And at the end of this series, we are

going to talk about how to fix that.

But first I'm going to dive into what's actually changing.

So everybody knows smart pricing is becoming much more

available. And pricing has always been part of

retail positioning and marketing. But historically there's been

sort of a, they call it in supermarkets, the known value item.

It was relatively stable. People know what to expect to pay

for something and they don't expect it to jump around from

day to day or hour to hour. And it was clear

you set the price. Maybe you ran a promotional remarkdown

occasionally and there might be strategic promotions

with suppliers and bundle deals and so on. It was relatively

straightforward. But now if that model has entirely changed,

we're moving into the world where pricing is more

data led, customer behavior,

analytics influenced. Gosh, that's a hard sentence to to

say system generated and

potentially continuously optimized, which

is exactly what we see with the price of flights and trains and things like

that. From a business perspective, of course it's powerful.

It means that you've got much better margin control,

a more rapid and data led or almost

automated reaction to fluctuations in demand,

much more efficient stock flow and movement, and

much more responsive trading decision. But if you take the personal

out of that and the human touch and allow, for example, AI

or similar to run pricing and promotions in order

to stimulate demand or pull demand back, if you're running low on

stock and so on, then it rather

confuses customer because on paper it

sounds great. But retail is actually much more human than that.

It's not just an Excel model or a dashboard. The fact is,

and it always has been, that relationship between the business and the

customer. And when you start to let too much go under

automation and not necessarily sanity check it, that's where the

tension begins.

Because what the customer experiences is not the optimization

and the margin growth that the retailer experiences, they just

experience the price and they look at that with just

one single focus, I guess, and it's fairness.

And fairness is fundamental to trust. And nobody wants to feel that

just because I went shopping at 10 o' clock in the morning, I've ended up

paying 20% more for my basket than the person who went out at 4 o'

clock in the afternoon. Discounts that we see when it's something coming to end

of shelf life are acceptable. But where you've got electronic shelf

edge and prices of baked beans flitting about,

then you have to start questioning, is that fair? And I think

this is where it could be that some of the tools and

technologies enable retailers inadvertently to sort

of cross the trust line. And this is what really matters. Because,

yes, customers are rational and price sensitive, but they're not

only rational decision makers, they also have the

emotional interpretation of value and experience. So

clear pricing logic, what I just said is coming to the

end of shelf life and therefore it's being reduced to clear so it doesn't end

up in the bin. That's logical, predictable value. So

if you buy something regularly, you have a very strong idea about what it

might cost. Yes, we understand that inflation takes things up,

but it's when things bounce around and I guess they do accept

occasional variations. So it might be on a promotion or it might be a special

deal or a bundle, but anything

that feels, you know, inconsistent, unclear,

wobbly, if the price is moving around too quickly,

they're likely to question it. And if two people were going to pay

different prices for the same product and then they spoke to each other,

they would notice. It's a bit like the advert I've seen lately,

and that's, again, it shows dynamic processes of pricing

in travel. I think it's the Trivago one where you've got three

different people and one is paid considerably less

because they use the Trivago app. Now, there's an

argument to say the price should be standardised, but

the difficulty with travel is, of course, you need to saturate

your accommodation or fill up all your seats, whereas

with supermarket goods, we know there's a flowing supply chain and

similar with clothing, it's not quite the same thing. But even then, in that

advert, they highlight the point that the person who's paid

more is disgruntled and feels that perhaps

they've not got value. They were happy with their price up until they found that

somebody else had got it cheaper. And I think that that's the issue.

If pricing in retail begins to go down the same

way as it can be in travel, it might lead people

to sort of disengage with the brands and

feel that they're not confident what they're getting. It

might push them to shop around more or to even

just walk away. And you see, once that's happened. The

trust has moved. And trust isn't automatic.

I'd say trust is not a soft metric either.

It is the foundation of loyalty and repeat behavior and of course

repeat spending. It's quite slow to build

that trust, but it's very fast if you want to lose it.

So despite the fact I like to think of myself as someone

who uses data to make decisions and can

do a range review based on margin, I also understand that

there are certain other indicators that you need to consider

as a decision maker in a business.

Data is not your store strategy. And I think that's where a lot of

businesses might be heading in the wrong direction. The belief that

more data, and particularly automation can lead to

better outcomes. But I don't think it does. Not every single time.

Data's just a tool and I totally commit to

my love of data. It's a very powerful tool. But

what really matters is also how you interpret it. You need

the experience and some of the instincts around

that the data can guide and steer and

you still can make the wrong decision. You can have all the dashboards in the

world, insights, exception reports, real time reports.

And if you haven't got the right knowledge and skill and

instincts and even some of the gut feel that really matters,

then you can still make worse decisions with more data

if you interpret it wrong or if your customer perspective

is missing one example and it's not on pricing, it is on range

reviews is you might have a product that makes negligible margin

and only has a trickle of sales, but if that product

repeatedly ends up in the basket of some of

the most high spending loyal customers whose total basket value is

super high margin, then you wouldn't cull the product.

But if the product was just a dead leg, you would. But that's where going

a bit deeper really matters. And the system won't necessarily be able to

decide that for you. So I think that sometimes

internal optimization can override the

common sense and judgment that you develop over time

as a retail professional. So I think that's really the most

important thing. The risk is trusting the data more than

judgment. And the faster decisions and the automated

decisions are not always the best. So if I was to talk to a

retailer right now about what they should focus on,

I would be saying, well, how do you navigate this? Obviously we're

not going to reject the data, but you can't blindly follow

it. And I would say there are three key things

to really anchor decision making too. First

is clarity. The customer needs to understand what you stand for.

Covered that in Episode one as well. Even if pricing

changes, the value proposition should not feel unstable. It

should still feel clear and relatable

and trusted. And then second, consistency.

There's no need to have fixed pricing everywhere.

And I know for a fact that, you know, you can buy in a

supermarket in one area, something for a lot less than in

another area. And quite a lot of the time it's to do with it being

a convenience store or it might be in a train station. And you know,

the pricing is variable according to the location,

so you don't have to have fixed pricing everywhere. But consistent pricing

logic is really important. Customers

need to be able to make sense of the pricing and think, oh well,

it costs a bit more here, but I guess it is a railway station or

an airport and the property is probably a

premium or whatever, so they can rationalize that.

But if it's the same store and prices are bouncing around throughout the day

just because of demand and forecasting algorithms,

that's not consistent. And then third, I think

control, and I kind of touched on it, but I

would not want to allow my business

positioning to essentially be outsourced to

systems. In so much as I wouldn't let

AI make decisions for me or any other tool.

It needs to be rationalized, validated and humanized.

Yes, of course, data is really important to inform decisions,

but it can't replace your judgment. And ultimately

your brand is not a system output. It's

much deeper than that. It's the set of decisions that still

need human ownership. And it's that essence, that

personality, that DNA that makes

customers feel that trust and remain loyal. I mean,

I guess it always comes down to what I said earlier. Retail has never been

anything about just transactions. It's always been

about relationships. Even if you don't know the customer in person,

you understand who they are and what their needs and wants are, and

you go out of your way to predict them with right products in the right

places at the right price. It's all the P's of marketing and

relationships always depend on trust. So I

would say using data to improve efficiency is one thing,

but not to the nth degree. And that's the

point about long term success. The customer has to believe that pricing

is fair. In a world where pricing on many other things

is much more dynamic and automated, it's also less visible.

Fairness might even become your competitive advantage in its own

right, and not because it's particularly cool.

I mean, I would say it's the fundamentals of any customer relationship. But the

thing is, it's becoming increasingly rare.

So to wrap up, let's bring this back. In episode one, I

talked about price pressure and the rise of discounting. In this

episode we've looked about how pricing is evolving behind the scenes with

the use of automation and AI and various other tools and technologies.

And these forces are leading in many respects to a

similar outcome. Because when the pressure inside the business increases

and pricing decisions become more complex, a lot of

businesses can end up in a position they didn't really deliberately choose.

And they're not the cheapest, not the most premium stuck somewhere

in the middle. And that's exactly what we're going to cover in the next and

final episode of this mini series. Because the middle is not just

a description, it's a problem. But importantly,

it's fixable. So if you've enjoyed this episode, we do

have a couple of resources linked to it. There are playbooks

available that offer deep dives into various essential topics, but

we do have a free downloadable one for these three

parts of the series, and they're at retailchampion.co.uk

retail-playbooks or if you subscribe to

receive podcast updates via email through

retailreckoningpodcast.co.uk newsletter.

We'll also be able to update you when more of those resources go live.

And a number of them will be free. Some of them won't be. And then

finally link to this about the clarity, consistency, pricing and everything else. We've

devised a Retail Clarity Scorecard Quiz. So

we'll be able to let you go through a simple quiz on

the website and you'll be able to receive personalized

recommendations based on your answers. And if you've subscribed to

the newsletter, I'll send you the URL to that in due course.

So hopefully, if this has provoked any thoughts and you want a no obligation

chat with me, you can contact me on

championetailchampion.co.uk, or or drop me a WhatsApp

message on 07462218000

and I'd be delighted to have a discussion. This has been Retail Reckoning.

My name's Claire Bailey, the Retail Champion. Thanks for

listening.

Retail Reckoning no space for

dusty shelves cause Retail

reckoning owns the floor.

Sam.