More Per Order, No Extra Work.
AI learns what each guest is likely to add, and gets sharper with every order.
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Traditional upsells rely on static rules, hoping a hand-picked add-on lands.
Incentivio uses AI to identify the add-ons a guest is likely to choose, surfaces them during ordering, and gets sharper the longer it runs. No logic to build or maintain.
Recommendations, Not Guesswork
A static rule guesses at what a guest wants. This learns it.
- Suggests items that pair with the cart
- Based on what guests naturally buy together
- Gets better the longer it runs
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Recommendations help enhance the guest experience by suggesting relevant add-on items based on what’s already in the cart. If a guest adds an entrée, they might be shown a side or dessert. These suggestions are powered by our system’s machine learning logic, but you can always adjust the rules and settings to better fit your menu and goals.
Click any item to see how often something is purchased with it after being recommended.
Recommendations are based on how often something is purchased with the Main item. The bar indicates how often the items below get ordered alongside this item.
Revenue Without the Discount
Growing the check doesn’t have to mean giving margin away.
- Higher-value orders without a discount code
- Better conversion on add-ons
- Recommendations that feel like a suggestion, not a script
Hands-Off by Default, Hands-On Anytime
Most brands never touch a setting, but control is there when you need it.
- Override the AI to spotlight an item or campaign
- Fix a miscategorized item yourself
- Set how many recommendations show, capped per category
Analyticsexpand_more
Managementexpand_less
Recommendations help enhance the guest experience by suggesting relevant add-on items based on what’s already in the cart. If a guest adds an entrée, they might be shown a side or dessert. These suggestions are powered by our system’s machine learning logic, but you can always adjust the rules and settings to better fit your menu and goals.
Built for Multi-Unit Restaurants
Smart at one location and a guess everywhere else isn’t built for a growing brand.
- One upsell engine across every store, never a version behind
- Performance store by store, not just brand-wide
- Deployed across every location in one move
Analyticsexpand_more
Managementexpand_less
Recommendations help enhance the guest experience by suggesting relevant add-on items based on what’s already in the cart. If a guest adds an entrée, they might be shown a side or dessert. These suggestions are powered by our system’s machine learning logic, but you can always adjust the rules and settings to better fit your menu and goals.
These settings allow you to control where recommendations are shown and how many to display. You can select the specific locations where recommendations will appear and set limits for different recommendation types like mains, sides, beverages, and more.
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Smarter Because It’s Connected
An upsell engine that only sees checkout is guessing with half the picture.
- Learns from online ordering behavior
- Connected to menu performance and loyalty data
- Trained on what guests do, not what a rule assumes
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See the Impact, Not a Feeling
“It seems like people are buying more” isn’t a number you can act on.
- See how often a recommendation is shown and bought
- See the revenue added from recommended items
- Compare order size with and without a purchased recommendation
Frequently
Asked Questions
It analyzes guest ordering behavior and recommends complementary add-ons during checkout, rather than a fixed, hand-built rule.
No, not to get started. Recommendations are automated and improve on their own. You can still create overrides to spotlight an item or campaign.
It needs historical order data to train on. Once that’s in place, it starts generating recommendations right away.
Yes. The same AI logic runs across every location, with performance visible store by store.
Yes. It’s connected. The AI learns from online ordering behavior, menu performance, and loyalty engagement.
Reporting shows how often recommendations are shown and purchased, the revenue they add, and order size with and without one.
Let Every Cart
Grow on Its Own.
See what each guest is likely to add.
Book a Demo