Private Industry Innovation Session, Sponsored by Spins

AI-mediated commerce is not a single disruption. There are two different disruptions depending on what you sell.

In utility categories — bottled water, household staples, routine replenishment — AI creates compression. When a language model optimizes recommendations for value, availability, and consistency, it becomes a private label engine. Brands that built their differentiation on visibility and shelf placement find that advantage quietly dissolving. The algorithmic damage is invisible: no bad review, no lost placement anyone can point to. The algorithm simply recommends them less, and no one knows why.

In categories where preference is driven by specific, meaningful attributes — the ritual of a morning coffee, the care behind a pet food choice, the values encoded in a clean label — AI does not compress the market. It rewards it. Products that earn purchase because of what they stand for, not what they cost, carry exactly the structured, interpretable signal that AI agents are built to surface. Deep preference does not make a brand harder to recommend algorithmically. It makes it easier.

The signals AI agents are learning to interpret – organic, non-gmo, seasonality, usage, sustainability certifications – are the structured, meaningful differentiation that drives purchase decisions across the entire store. Retailers already carry these products; what most lack is the attribute infrastructure to make that catalog legible to AI-mediated commerce. The brands winning algorithmic recommendations are the ones with richer data. The retailers winning are the ones who can surface it. That gap is a capability decision, not a category one.

This session brings together the intelligence layer, the commerce analytics layer, the retailer perspective, and the brand perspective to examine what is actually happening — and what the industry should do about it now, before the gap compounds.

Attendee Takeaways
•    Discover how AI recommendation engines reshape product discovery, loyalty, and the role of traditional merchandising.
•    Hear perspectives from brands, retailers, commerce and data intelligence leaders on how AI is changing purchasing decisions.
•    Identify the capabilities and data investments your organization should prioritize today to remain competitive tomorrow.

Register your interest here.