Quorev reads a shopper's intent in plain language and reasons through your catalog like a good store clerk — then shows its work, so every recommendation is something you can actually explain to a customer.
An LLM turns a loose query, a past order, or a support chat into structured intent — occasion, constraints, taste — instead of forcing shoppers into dropdown filters.
Retrieval grounds every suggestion in your actual inventory and policies, so the model recommends what you sell and can fulfill — not what sounds plausible.
Every recommendation ships with the "why" attached — for the shopper's trust, and for your team's QA when something looks off.
No ML team required. Point Quorev at your product feed and order history, and get a recommendation API and on-site widget within a day.
We're onboarding a small group of stores before general availability. Leave your email and we'll reach out.