E-commerce & retail
Shoppers rarely know the exact product name. They describe what they need, browse, compare and leave when they cannot find it. vecsai helps them find it, and suggests what goes with it.
The challenge
- Queries that do not match product titles
- Zero-result searches that lose the sale
- New products with no sales history
- Recommendations that ignore stock and margin
What vecsai puts in place
- Semantic product search
Match descriptions, attributes and intent, with typo tolerance and facets. - Personal recommendations
Homepage picks, similar products, frequently bought together and cart suggestions. - Merchandising control
Boost campaigns and new arrivals, bury out-of-stock items, across search and recommendations at once.
Test it first with vecsai Sim
Simulate a seasonal re-ranking or a new boosting rule on synthetic shoppers and see the effect on conversion and catalogue coverage before it goes live.
About vecsai SimProducts
Products for E-commerce & retail
See vecsai on your own catalogue
Tell us about your platform and we will show you search, recommendations and simulation running on your data.