Teaching AI to Speak Shopper and Retail - Agent Ecosystem Show & Tell with Mapp

Retailers understand their products well, but much of that knowledge remains in the heads of buyers, merchandisers and stylists rather than in a format machines can use.

The same gap exists on the shopper side. Someone may search for “burgundy” when the catalogue says “wine,” while a request such as “a linen dress for a beach wedding” combines fabric, occasion, climate and dress code. Traditional product data does not connect these meanings.

That worked when a person did the interpreting. It is not workable now. Retailers cannot scale meaning that has to be reapplied by hand every season. Nor can they build the agentic experiences customers increasingly expect. Those experiences depend on relationships and interpretations nobody ever recorded. The market is already moving: Google added conversational attributes to its product feed specification in May.