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Shoppers don’t think in product attributes. They think in occasions, looks, problems and possibilities.
What should I wear to a summer wedding?
Will this suit me?
What goes with this?
The problem? Most commerce systems know what a product is, but not what it means.
In this MACH Alliance Show & Tell, our Mapp CEO James Brooke introduces GEMA, Mapp Fashion’s governed knowledge graph built to bridge the gap between product data, shopper language and AI discovery.
One graph. Every experience.
GEMA turns product facts into meaning, connecting products to occasions, styles, trends, outfits and the language shoppers actually use.
That meaning can then travel everywhere: search, product feeds, recommendations, PDPs and AI answers.
Because in the AI era:
Reasoning can be rented. Meaning must be owned.
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