In-Store Recommendation engine Powered by ChatGPT and Correlated Cross-Occurrence (CCO) machine learning algorithm. Smart cross-sell and upsell on any pages: homepage, category page, product detail page, shopping cart, during checkout, thank you page, order detail page, or any custom pages.
Smart AI auto-recommendation will generate personalized upsell and cross sell product recommendation for your customers based on store sales history and customers behavior. Showcase the products your shoppers are most likely to buy.
Engage and convert shoppers on your ECommerce store. Our recommendation engine helps merchant to generate extra sales on your ecommerce store. Our recommendation engine powered by AI will
Track your customer behavior
Analyze & Learn customer interest on your store
Auto product recommendation to increase sales for your store
This app is one of the most flexible app that allows you to place the cross-sell/upsell widgets anywhere on any pages. Want to have shopping cart recommendation? No problem. Want to place the widget on the side? or just above the checkout page? No problem. Just copy one line of code snippet and place it anywhere on your page.
The app also provides advanced analytic feature, which you can use to learn more about how each recommendation widget performs and make adjustment accordingly.
$0
$25/mo.
October 18, 2024
This app may not be fully compatible with multi-storefront. Please get in touch with the technical partner for further details.
$0
$25/mo.
October 18, 2024
This app may not be fully compatible with multi-storefront. Please get in touch with the technical partner for further details.
Product Reccommendation
Recommend products to shoppers based on purchase history or recently view products
Cross Sell
Cross sell recommendation based on frequently bought together products
Last Step Upsell
Recommend products at the last step check out at the shopping cart
Smart Auto Recommendation
Customer who bought this product also bought these products.
Trending / Popular Products
Display popular products based on the store wide sales behavior, or products with similar attributes.
The following popularity ranking are supported:
Transaction / Number of Times Sold
Quantity Sold
Revenue
Number of Unique Customer Purchase
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