AI auto-optimize
Stop running A/B tests—let the AI pick the winner
A Thompson-sampling bandit routes traffic across 10 recommendation strategies and keeps shifting toward whatever is converting right now.
- 10 strategies in one engine: rankings, browsing history, collaborative filters, AI similarity, cart recovery, and more
- Continuous learning per placement and traffic mix—no fixed test windows
- Adapts as the catalog and seasons shift



