MINNIM .AI

Smart recommender: personalize the experience and increase conversions

We activate a smart recommender for websites and ecommerce that adapts products, services and content based on real browsing signals. With a service/product recommender by profile, users find what’s relevant faster and your business improves conversion without losing brand consistency.

Service/product recommender by profile

We implement a service/product recommender by profile to adapt the offer to each user: what they’re looking for, comparing, interested in, and where they are in the journey. This reduces friction, improves experience and increases the likelihood of moving to the next step (contact, purchase or booking).

Smart recommender for websites and ecommerce

A smart recommender for websites and ecommerce adjusts suggestions in real time: related products, alternatives, bundles or helpful content. It uses behavior signals (clicks, time, navigation, internal searches) to prioritize what’s most likely to interest and convert—without relying on “generic recommendations”.

We can also activate a to build recommended blocks by category, stock, margin or business goal. We measure impact (CTR, conversion, average order value) and continuously optimize so the recommender learns and improves with use.

Shall we help you activate a behavior-based recommender?

We propose a phased plan: goals and metrics + signal definition (profile/behavior) + website/ecommerce integration + recommended module design + impact measurement + continuous optimization with quick wins.

Can we help you? Contact

Tell us about your situation and we'll propose an implementation plan.