Recommendation slots
Manage homepage, product-page, cart, and lifecycle placements from one workspace.
Explore how an AI recommendation engine can rank relevant products, manage merchandising slots, test strategies, and explain revenue impact—without connecting a real store.

A clear interface for designing placements, controlling business rules, and measuring recommendation impact.
Manage homepage, product-page, cart, and lifecycle placements from one workspace.
Preview behavior-based segments without collecting or transmitting customer identities.
Balance relevance with inventory, margin, and basket compatibility.
Compare recommendation strategies with transparent exposure, uplift, and confidence.
Combine behavioral affinity with explicit inventory and margin rules.
Open performance workspaceSurface relevant products before shoppers leave.
Recommend compatible items inside the cart journey.
Compare strategies using measured experiment data.
Select where recommendations appear.
Balance shopper affinity and business rules.
Inspect scores and ranking reasons.
Compare revenue and conversion.
It ranks products for each shopping context using behavior, catalog, inventory, and merchandising signals.
This platform supports Shopify-style catalogs and connected commerce workflows.
Audience, session, click, order, and attribution metrics are consolidated in analytics.
Yes. The platform includes slots, strategy controls, and A/B experiment states managed in your workspace.