Product recommendation AI

In depth

Traditional recommendation engines use purchase history and collaborative filtering to suggest "people also bought" rows. An AI chatbot operates in a tighter loop: the shopper states a need in the current conversation, and the chat returns one product with reasoning tied to that need. Emporiqa uses hybrid search (semantic + keyword) to retrieve candidates from your catalog, then the chat presents the best match with price, stock, and an add-to-cart button. Recommendations are grounded in your own catalog, not a generic product graph, so everything the shopper sees is in stock and linked to your checkout.