AI may influence the shopper, but stores still decide the purchase

Shoppers Omni Store
Barry Thomas
Barry Thomas

Senior Retail Commerce Thought Leader

Article

In-store purchasing continues to overindex relative to AI-driven recommendations.

Kantar’s new AI-Enabled Commerce study highlights a shift in shopper behavior that retailers and CPG brands need to take seriously. AI is increasingly shaping discovery, consideration, and retailer choice before the trip ever happens. But when it comes to conversion, stores still matter enormously. Kantar’s research suggests that in-store purchasing continues to overindex relative to AI-driven recommendations, pointing to a new divide in commerce: AI is guiding the shopper journey upstream, while stores still decide what shoppers buy downstream. For me, that is one of the most important implications in retail right now.

AI Is Compressing Discovery

The front end of the shopping journey is tightening fast. Shoppers are using AI to compare prices, check inventory, narrow options, and identify where they believe they can get the best outcome. That means they may consider fewer brands and fewer retailers. The old model of broad browsing and gradual narrowing is giving way to a much tighter decision loop. In many cases, AI has shaped the shortlist before a shopper even enters a store or opens a retailer app. This moves influence further upstream and puts more pressure on brands and retailers to be visible, accurate, and relevant earlier in the journey.

Stores Still Win the Last Mile

But the store is far from losing relevance. If anything, its role is becoming more important. Kantar data shows that even as AI influences consideration, stores still overperform at the moment of conversion. That tells us that in an AI-driven world, shoppers are using stores less to discover and more to confirm, validate, and purchase. Shoppers may arrive with a predetermined set of options, but items that are visible, in stock, priced right, and easy to grab still have enormous power at the point of decision.

This is especially important because it reframes how to think about stores: as a place where digitally shaped intent translates into real commercial outcomes.

AI Raises the Bar for Retailers 

AI is also raising shopper expectations. Shoppers expect retailer AI assistants to help in practical, useful ways, with accurate inventory, sale alerts, back-in-stock notifications, and a smoother path through the shopping trip. As a result, shoppers are judging retailer AI less like a novelty and more like a utility. Once shoppers start relying on AI for guidance, they expect the recommendation to connect cleanly to reality.

That means inventory, pricing, promotion, and fulfillment all need to be more connected, responsive, and precise. If the data is wrong, AI will expose it quickly.

The Real Battleground Is the Handoff 

For me, the most important moment in commerce is now the handoff between AI recommendation and retail execution. That is where value will be won or lost. If that handoff breaks, the recommendation does not matter.

Take a simple example. If AI tells a shopper that a certain retailer has the best price on a product, but the item is out of stock, hard to find, or not priced as expected when the shopper gets there, the experience breaks. The recommendation may have been smart, but the conversion fails. That gap between what AI suggests and what retail delivers is where the winners and losers will increasingly separate.

What This Means for CPG Brands and Retailers

Retailers, will need to operate more like a real-time system. Pricing, inventory, promotions, and fulfillment can no longer sit in disconnected silos. The retailer experience now must support the promise AI makes to the shopper.

CPG brands now need to win twice: first in AI-driven discovery, and then in physical execution. Winning one without the other is no longer enough. A brand can be highly recommended upstream, but lose the sale if it is out of stock, poorly merchandised, weak on value perception, or invisible at shelf. That raises the importance of retailer-specific execution, availability, pricing discipline, and shelf visibility in a much more AI-shaped commerce environment.

That is why I believe this is such an important moment. AI is becoming the front door to commerce, but stores are still the final vote. The future will be won by companies that connect AI visibility and physical execution better than anyone else.

That is the new divide: AI guides, but stores decide. Companies that understand that, and execute accordingly, will win the next chapter of commerce.

Our new AI-Enabled Commerce study uncovers how agentic tools are driving new behaviors, trust, and engagement across retail. Learn more here.

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