Retail Media’s Next AI Advantage Won’t Be the Interface | Criteo
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Retail Media’s Next AI Advantage Won’t Be the Interface
Discover why interoperable retail media infrastructure is critical for AI-driven activation and optimization across the commerce ecosystem.
Much of the discussion around AI in commerce has focused on the interface layer: shopping assistants, conversational discovery, and AI-powered recommendations. And for good reason. AI is evolving how shoppers discover products and setting new expectations for relevance. At the same time, an equally consequential shift may be happening beneath the surface in how marketers plan, optimize, and execute their advertising.
For years, retail media platforms have been built around human operations. Marketers logged into dashboards, interpreted retailer-specific reporting, and manually optimized campaigns across fragmented systems. That operating model is beginning to evolve for AI-driven environments.
As intelligent agents take on a bigger role in retail media, the next competitive advantage will come from building retail media systems that are easier for both humans and AI agents to operate versus simply layering AI features onto legacy tools.
Retail media’s next challenge is operational
Most of the retail media industry still operates through disconnected workflows. Brands and agencies often navigate multiple retailer platforms, each with different reporting logic, measurement standards, and operational processes. While that’s long been a source of inefficiency for human operators, it becomes an even bigger limitation in an AI-assisted environment.
AI agents don’t work well inside fragmented systems that depend on manual intervention. They struggle when workflows are disjointed, data structures are inconsistent, and optimization processes vary from retailer to retailer. That’s why the underlying operating model is being redesigned for more unified activation, so that optimization becomes more portable, and execution becomes easier to scale.
For brands, this means standardization is becoming essential to make platforms easier to navigate and execute efficiently across retailers.
Interoperability becomes a competitive advantage
As AI becomes more embedded into commerce workflows, brands will need more normalized access to targeting, optimization, measurement, and insights across the places they sell. AI is powerful, but it delivers the greatest value when it’s built on a clear, consistent foundation. When retailers have different optimization levers or metrics that share the same names but carry different underlying definitions, brands need technology that can simplify that complexity and create the context that AI needs to be effective. That’s where interoperability becomes increasingly important as brands want to execute across retailers without losing transparency, control, or the ability to compare performance consistently across environments.
Conversational commerce raises the stakes for relevance
At the same time, the commerce experience itself is changing. Discovery is moving beyond a world defined entirely by search boxes, filters, and clicks. Shopping is becoming more conversational, contextual, and recommendation-led to unlock new opportunities for retail media. For Criteo, that includes sponsored products appearing within retailer chatbots, where relevant brand placements can become part of the conversation and influence decisions in real time, while creating incremental monetization opportunities for retailers.
As AI platforms take on more of the discovery and evaluation process upstream, more shoppers land directly on the product detail page (PDP) with intent already shaped. This creates an opportunity for the PDP to become one of the most valuable places to engage high-intent shoppers, reinforce confidence, and monetize demand.
Retailers will need systems that can interpret intent more dynamically and make better decisions in real time. Criteo’s Page Intelligence, designed to help retailers optimize what appears across the page, uses signals such as context, shopper behavior, product relevance, and commercial priorities to analyze how each element can be shown to drive the best outcome for the shopper, the retailer, and the brand.
AI is shaping the shopping journey
Commerce is moving toward an AI-assisted future, rather than a fully autonomous one. AI assistants, retailer chatbots, and conversational ads will become more prevalent, helping reaccelerate ecommerce by making discovery more intuitive, expanding digital entry points, and generating more qualified shopping demand, while retailers continue to own the transaction, the customer relationship, and the fulfillment experience.
According to Bain and Company, shoppers trust retailers’ specialized, on-site assistants three times more than third-party, general assistants. Shoppers may start their journey in an AI platform, but they will still want to complete purchases in trusted retailer environments.
Preparing brands and retailers for what comes next
Retail media is entering a new phase, with new opportunities from infrastructure to consumer experiences. The industry is moving from workflows designed around manual operation to systems increasingly shaped by intelligent agents, conversational discovery, and real-time decisioning.
At Criteo, we are at the forefront of these changes with investments in Commerce Max, Page Intelligence, Sponsored Products in retailer chatbots, and the relevance and decisioning capabilities needed to make AI-driven shopping more effective. Because in the next era of commerce, retail media’s future will be shaped as much by AI-driven infrastructure as by AI experiences.