If there was one theme running through the Retail Technology Show 2026, it was this: retail isn’t being reinvented by a single trend.
It’s being reshaped from multiple directions at once - AI, customer expectations, product strategy, and channel complexity are all moving at the same time.
And they’re pointing toward a reality that’s full of opportunities for retailers who are brave enough to move faster, to be more connected, and more prepared to create value that goes beyond product.
Here’s what we learnt, what stood out for us, and what it means in practice.
1. Loyalty isn't designed. It's earnt.
RTS highlighted a clear shift in thinking around loyalty. For years, loyalty programs have been built around points, perks, and discounts. That model is starting to crack.
Loyalty doesn’t come from mechanics. It comes from trust.
Customers are more aware of how their data is used. They’re more selective about what they engage with. And they’re less motivated by generic discounts.
The trend that’s becoming apparent is repeat purchasing follows when the product delivers, the buying experience builds confidence, and the customer trusts the brand to do it consistently time and again.
That doesn’t mean loyalty programs are dead. It means loyalty programs need to earn their place by:
- Rewarding customers in ways that align with why they value the brand (not just a “spend more, save more” approach).
- Respecting permission and consent, and offering a clear value exchange for data.
- Building and reinforcing relationships through experiences that feel meaningful and valuable.
The bottom line here is that loyalty is increasingly the outcome of great experiences. And a loyalty program should support this - not feel like something that’s been bolted on afterwards.
2. AI is making 1:1 engagement operational (not just aspirational).
We’ve talked about 1:1 personalization for years, but its true value has never been unleashed. Until now.
What’s changed is that AI is now making 1:1 personalization operational at scale.
AI is moving retailers beyond static segments and into real-time engagement, allowing them to:
- Interpret customer intent as it happens
- Adapt journeys across online and in-store touchpoints
- Support store teams with better recommendations and context
The advantage is shifting to brands and their teams who can sense customer signals in the moment and respond with relevant actions across channels and store environments
This is where unified commerce starts to matter more than ever.
Because real-time personalization only works if your data is connected across channels. When store associates, inventory, and customer data operate in sync, you can act on signals at exactly the right time.
3. Data foundations are fundamental to get right.
One of the clearest reality checks from RTS was this: AI doesn’t fix broken data. It amplifies it.
If your data is fragmented, delayed, or unreliable, the outcomes will be too. There’s no shortcut around that.
The retailers seeing real results are the ones who have done the groundwork. They’ve invested in centralizing and governing their data, and more importantly, making it usable in day-to-day operations.
That’s where things start to click.
For example, using RFID and real-time inventory data as a single source of truth is helping teams improve replenishment, forecasting, and availability in a way that actually shows up on the shop floor.
When your data is accurate and available in real time, your teams can act on it. And that’s what makes AI useful.
In short, start with data you can trust, build real-time operations on top of it, then layer in AI where it adds value.
4. Community is becoming much more than a buzzword.
Community came up again and again at RTS - but not in the way we’re used to hearing it.
It’s no longer about big, one-off brand events. It’s about building a steady rhythm of small, meaningful interactions - which were described as being the “everyday moments” that keep customers coming back.
We’re seeing stores evolve into something more than just places to buy.
They’re becoming spaces where customers can engage with the brand in a more hands-on way - whether that’s through services, guidance, repair hubs, or shared experiences that feel genuinely useful.
And the impact is real. These moments don’t just drive transactions - they build familiarity, trust, and connection over time.
The key takeaway is that community isn’t something you switch on. It’s something you design into the experience.
5. LLMs have turned discovery on its head.
While OpenAI may have retreated from offering instant checkout, LLMs are becoming a huge part of the discovery journey, and it shows in the data.
AI-driven traffic is growing, while traditional search is starting to lose ground.
This isn’t just another channel. It changes the whole flow of discovery.
When discovery happens through AI, customers arrive with different expectations. They’re often more informed so expect clearer answers, faster. That means less explaining from scratch, and more getting straight to what matters.
Retailers are already adapting by turning search strategy into a presence strategy. It’s no longer just about ranking well on Google - it’s about being clear, structured, and easy to understand. Content, reviews, and social proof all play a bigger role, helping AI put your brand in front of the right people at the right time.
In summary
RTS didn’t point to a single silver bullet - and we didn’t expect it to.
What it clearly showed is a shift toward a more connected, more demanding retail environment where:
- Loyalty is built on trust, not incentives
- Personalization happens in real time
- Data quality determines what’s possible
- Retention is designed into the product and the experience
- Discovery is happening everywhere, all at once
Most importantly, success won’t come from optimizing one part of the business in isolation. It comes from connecting the whole experience - from data and operations to stores and customer interactions.
That’s where the next competitive advantage is being built - and where the most ambitious brands are placing their bets.
Last updated: april 29, 2026
