A one product purchase is lost revenue

When search works, shoppers find what they need. But static discovery stalls AOV. The same products surface for everyone, regardless of behaviour. Without AI your store can't read the signals - and the basket stays smaller than it should.

Boost AI recommendations using shopper behaviour to build personalized product discovery

Don't leave discovery to chance.

The best-performing stores build strategies from real performance data and let AI execute them at scale. Boost learns from real shopper behaviour and real conversion signals - so the more it runs, the better it gets.

Boost AI feature cards for merchandising rules product recommendations and product performance tracking

+90%

average
order
value

Read the Columbia Vietnam case study Book a demo

Columbia Vietnam used Boost's AI recommendations, advanced filtering, and merchandising rules to turn a complex seasonal catalogue into a guided shopping experience - and nearly doubled AOV in a single month.