Upsell recommendations powered by machine learning

Incremental revenue with no manual intervention

Learns from same-store sales

The upsell feature analyzes what guests typically purchase together at each individual location to account for any regional-based preferences.

Accounts for seasonal preferences

The algorithms refresh every two weeks, so if guests are more likely to purchase cold drinks in the summer and warm drinks in the winter, the upsell engine will adjust the recommended items accordingly. 

Avoids replacement recommendations

Upsell recommendations also factor in what a guest already has in their cart and automatically classify those items to avoid suggesting replacement items.

Highlight specials or high-margin items

Restaurant promotions and specials

If you’re introducing a new menu item or want to promote specific items, you can create your own rules to always recommend those items when they are not already added to a guest's cart. 

Item enhancements

Drive incremental revenue by creating a manual rule to always suggest certain add-ons when specific items are added to a guest's cart. For instance, suggest an espresso shot with certain beverages, a side of dressing for certain salads, or extra meat in a burrito.