Menu
AI menu engineering for restaurants
Margin-killer dishes flagged. Stars pushed. Page laid out from real data, not gut feel.
Once your menu is structured and connected to your POS, AI reads what customers click, scroll past, and order — and tells you where to push, edit, or cut.
What happens
Connect your POS or order export so the workflow sees what actually sells.
Watch food-cost trends weekly and flag dishes whose margin has crept above target.
Track click and scroll behavior on the menu page to surface what customers actually look at.
Suggest a fresh menu page layout each week — push the stars, bury the underperformers.
Included
- Weekly margin alert with specific dishes named, not a generic dashboard
- Click and scroll data on the menu page, owned by you, not a third-party tool
- Suggested page layout you approve, not auto-applied
When this becomes bigger
If this workflow starts touching inventory, staff, dashboards, customer history, or several locations, move into a custom AI system.
Questions
Plain answers before we build.
Does it change prices automatically?
No. The workflow drafts suggestions every Monday. You approve every change before it goes live.
Do I need a fancy POS?
Anything that exports order data works. We have connected Square, Loyverse, FoodStory, and a few Excel-export setups.
What about specials and seasonal dishes?
Specials get flagged separately so they are not mistaken for poor performers. Seasonal context is part of the weekly review.