The problem
Most stores lose sales not because the right product is missing from the catalog, but because the shopper cannot find it. Faceted filters assume the shopper already knows the attributes. Search matches strings, not meaning.
So the shopper gives up and leaves — and the catalog had exactly what they were looking for the whole time.
How WisWes handles it
WisWes reads your live catalog with semantic search, so it matches a shopper’s description to real products even when their words do not line up with your SKU names or tags.
It factors in what is in stock, what is already in the shopper’s cart, your bestsellers, and what has converted before — then recommends a short, relevant set with prices and links, right in the conversation.
What you get
- Semantic catalog search — matches intent, not just keywords
- Recommends only from live stock, so it never suggests sold-out items
- Considers cart contents and bestsellers when ranking suggestions
- Returns a tight, relevant set with price and product link in the chat
- Learns from what actually converts over time