Application areas
E-commerce
Search, ranking and personalization for catalogues where every shopper weighs attributes differently.
The challenge
Classic recommenders need a long interaction history, they inherit the biases of that history, and they cannot explain why a product appears in position one. New products and new users start cold, and the shopper has no way to say what actually matters to them right now.
Our approach
Genetic AI ranks the catalogue against declared criteria — price, availability, delivery time, ratings, technical specifications — and evolves the weighting toward the individual shopper in real time. There is no training corpus to collect, no cold start, and every result carries its own justification.
Try Genetic AI on your own data
With DarwinNGC you can already upload your own data and run Genetic AI on it. Ready to try it for yourself? - or get in touch directly.