Vertical · Restaurants

AI for restaurants — where margin actually lives.

Independent restaurants and small chains lose more to invisible operational drift than to bad reviews. Our Restaurant Units find the EUR and put it back on the P&L.

Diagnostic framing

Where the EUR actually leaks in a restaurant.

What a week shadowing your operation reliably surfaces.

After 40+ restaurant diagnostics, the friction is almost always one of three: food cost variance the controller catches a month late, cover forecasting done by gut and weather apps, and front-of-house scheduling that's either overstaffed or melting down. AI helps in two of the three today (forecasting and reconciliation). It's not yet ready for the third end-to-end.

Food cost variance

2–6% silent leakage between supplier delivery and dish sold. Caught monthly by spreadsheet, never by the time you can act.

Strong AI fit (Loss Control Unit)

Cover forecasting

Ordering and prep based on last week ± gut feel. Misses event spikes, weather, local sport.

Strong AI fit (Demand Unit, Q3)

FOH scheduling

Manager spends Sunday afternoon in Google Sheets. Result is always a compromise.

Partial fit — humans still decide

From the field

What 8 weeks looked like at a 4-restaurant Munich group.

"First brief landed two weeks after go-live. It told us our Wagyu portion was 18g over target across two services — €840 in the first month. We'd have caught it at the next stocktake, six weeks later. The Unit paid for itself by month three."
— Operations Director, 4-restaurant group, Munich · 90 days post-deploy
Food cost recovered
3.1%
First insight
Day 14
Payback
Month 3
Setup time
5 weeks
FAQ

Frequently asked questions

Free, no slide deck

Diagnose your restaurant's AI opportunity

A 15-minute call. We'll tell you which one Unit moves the most EUR for your operation.

About 1 in 4 calls ends with us recommending you don't buy anything.