Store-specific recommendation candidates
Use the merchant's own available order data instead of a universal static bundle list.
- Order patterns
- Product context
- Ranked set
AI Cross-Sell
Burbuxa ranks recommendations from your store's order patterns and product context, then publishes them automatically on supported product pages and checkout surfaces. You can pause or change them.
The trial lasts 7 days. Included credits match your selected plan: 200 with Takeoff, 1,600 with Orbit, or 4,000 with Infinity. You select a plan during trial setup. A payment method is required, and the selected plan renews automatically after the trial unless you cancel.
Product pages support Shopify, Tiendanube, and VTEX. Checkout support covers Tiendanube and Shopify Plus.
How it works
Use available order history to find products that shoppers bought together.
Use product details to order the possible recommendations and explain why each one fits.
Recommendations publish automatically. You can pause a set or remove, reorder, add, and replace products.
Show product cards with supported add-to-cart behavior on a product page or checkout surface.
Record widget impressions and add-to-cart actions when the storefront sends them.
Use the merchant's own available order data instead of a universal static bundle list.
New sets publish automatically. You can turn off the widget, pause a set, or change the recommended products.
Show related products on supported product pages and in Tiendanube or Shopify Plus checkout with add-to-cart actions.
Inspect impressions and add-to-cart actions reported by the widget.
Burbuxa reports impressions and add-to-cart actions so you can compare recommendation activity with your store's sales data.
Product control
Recommendation sets publish automatically. A merchant can turn off the widget, pause a set, or change products that do not fit.
Connect a supported storefront, then review and adjust the recommendations from your dashboard.