Retail & E-commerce
A shopper knows what is wrong. They do not know which product fixes it, and keyword search cannot bridge the gap. We design shopping assistants that search the live catalogue by meaning and only recommend products that exist.
What we see
01
Customers write in everyday language. Product listings use different words.
02
Prices and stock change daily. A recommendation that lags is worse than none.
03
Product questions reach the support desk instead of being answered while browsing.
04
A public chat will be tested by people trying to make it say something it should not.
Our work here
Retail & E-commerce
We designed a retrieval-grounded AI chat assistant that turns plain-language shopping questions into accurate product recommendations from a catalogue of roughly 3,000 products.
~3,000Products searchable by meaning