The decision layer connecting your catalog to every recommendation.
A proprietary decision layer that connects Gem Shopping Expert and Gem Platform — delivering accurate, reliable, and hallucination-free recommendations grounded in your actual product catalog.
Platform structures and enriches your catalog data. Gem Engine uses it to run precise queries, validate inventory matches, and score every recommendation, while Shopping Expert surfaces the best match.
Most AI shopping tools search product descriptions. Gem queries your catalog database — exact attribute filters, real match counts, zero guesswork.
Gem translates shopper needs into precise database queries against your structured product attributes. When Gem says 82 products match, that number is exact — not estimated, not ranked by relevance.
Every requirement passes through an evaluation layer before influencing a single recommendation. Ambiguous inputs trigger clarification. Blocking concerns halt recommendations entirely. Shoppers only see what's real, in stock, and relevant.
The pipeline runs in parallel stages with progressive real-time updates. Shoppers see requirements appear, match counts populate, and recommendations stream — the first response lands in under two seconds.
See it in action.
Book a demo and we'll build a live version of Gem Engine on your actual product catalog.