Natural-language product discovery on a sportswear PDP, trained on 500+ products

The challenge

A global sportswear brand wanted to let shoppers find products through natural conversation rather than filters. Their catalog of 500+ products needed to be searchable by intent, use case, and preference.

The solution

We built a conversational AI product discovery interface that understands shopper intent, asks clarifying questions, and recommends products from the catalog. The system is trained on the full product database and handles natural-language queries.

The impact

The conversational interface improved product discovery engagement and reduced bounce rates. Shoppers find relevant products faster.

Technologies used