F&B and Restaurants
AI for F&B: fewer miskeyed orders, shorter queues, cleaner kitchens.
In canteens, food courts and self-service restaurants, most leakage happens in seconds at the till. Computer vision catches it at the same speed, and works with the CCTV and POS you already run.
The problem
Where the money leaks
- Cashiers miskeying mixed trays at the lunch peak
- Unbilled items that never show up in the POS
- Customers leaving long queues without paying
- Kitchen SOPs checked by clipboard, once a day
Solutions
What we build for F&B
Food tray recognition
A camera over the till recognises every dish, including local dishes that look alike, and rings it up.
Learn more →Queue and walk-away analytics
Queue length and wait time per hour, so you open the second till before customers leave.
Learn more →SOP and hygiene compliance
Checks hand-washing, glove and hairnet use and prep steps, and logs exceptions.
Learn more →Demand forecasting per outlet
Daily prep quantities per dish and outlet to cut food waste.
Learn more →Related work
From our founders' work at previous companies, before AIQU Systems.
Frequently asked questions
Can AI recognise Indonesian dishes?
Yes. Models are trained on your own menu and plates, including dishes that look alike, such as different sayur or sambal variants.
Will it slow down the cashier?
No. Recognition takes under a second on an edge device at the till, and the cashier confirms the bill as usual.
What if the internet goes down?
The system runs on-site, so billing continues offline and syncs later.
Find out what your cameras are missing.
Start with a Vision Assessment: 2 days of your existing CCTV footage, a loss report in rupiah within 10 working days, and the Rp 25.000.000 fee credited in full toward a pilot.