AI Upsell Recommendations adds contextual AI product suggestions to key conversion points: cart page and product page. It is designed to improve average order value by recommending complementary items based on current shopper intent.
See ai upsell recommendations demo here
It is designed to increase order value with AI upsell and cross-sell suggestions on cart and product pages.
How it works
- Collects current cart/product context.
- Requests recommendation JSON from AI.
- Uses embedding search terms to locate relevant catalog items.
- Excludes current items and duplicates.
- Falls back to keyword matching when needed.
- Renders suggestion cards with price and add-to-cart actions.
Use Cases
- Suggest accessories on product page.
- Suggest bundles/add-ons on cart page.
- Cross-sell related items during checkout intent.
Why store owners use it
- Minimal manual rule setup.
- Better suggestion relevance than static related products.
- Works with existing catalog and theme product components.
Key Features
- Cart and product page AI suggestion injection.
- Embedding-based semantic product retrieval.
- Fallback keyword matching for resiliency.
- Duplicate/current-product filtering.
- Reusable product-card rendering.
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