01
Your menu is older than your purchase prices
Menus change rarely, purchase prices constantly. The result: costings that were right at launch are often wrong a year later.
Menu engineering with AI
Menu engineering with AI: sorted by real contribution margins
Our AI Agent ORA rates your menu not by popularity, but by what a dish actually earns.
30-minute demo with AI Agent ORANo reports to interpret. No Excel sheets. No guesswork. Our AI Agent ORA tells you what to do today.
Menu
02
The expiry date of your costing
Every costing has a point after which it is no longer reliable. Without ongoing comparison with current prices, a correct figure slowly turns into a wrong one.
03
Why menu engineering only works with clean data
Classic menu engineering often sorts by popularity instead of real contribution margin. Only the combination of current recipes, purchase prices and sales data gives you a classification that actually matches your margin.
04
Upselling & cross-selling
Our AI Agent ORA gives proactive recommendations to increase revenue per guest, for example targeted cross-selling tips for high-margin products that go with a dish. This is complemented by service trainings that raise service quality and operational efficiency.
Dashboard vs. AI Agent ORA
You already have enough numbers.
A classic dashboard gives you figures. Our AI Agent ORA gives you the decision that goes with them: what is happening, why, and what it is worth.
Classic software
Revenue
€4,821
Food cost
31.2%
Staff costs
34.8%
AI Agent ORA
Act today
Dish Y sits in the lower contribution margin segment of the menu although demand is stable.
Cause
The purchase price of a main ingredient rose by 12 %, while the selling price has not been adjusted for a year.
Recommendation
Raise the selling price by 50 cents or adjust the recipe.
+ € 180
additional contribution margin per month (example value)
Example values for illustration.