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AI That Sees What Your Team Misses

Restaurant Operations AI reads existing cameras, tracks tables and routes orders so staff prevent misses and speed service.

Inventory and operations planning dashboard: a seven-day sales forecast, per-product inventory needs, staffing levels and the daily sales pattern

Operating in customer locations

Restaurant Operations AI was built alongside a hospitality group. Computer vision has since gone live across their sites, on cameras that were already installed.

What Restaurant Operations AI does

Camera-based vision

Works on your existing CCTV infrastructure with no new hardware, sensors, or wiring. Restaurant Operations AI connects to your camera feeds and begins processing without a hardware installation.

Table state tracking

Real-time awareness of table status across the floor: occupied, flagged, awaiting service. Surfaced to staff before service drops so problems are caught before customers notice.

Voice order routing

Spoken orders are captured at service and routed to the right kitchen station. This cuts relay errors and the delay before preparation.

Measured outcomes

On existing cameras

No new hardware required

Site by site

Rolls out without a big bang

Real time

Caught while the shift runs

On-site

All processing stays in the building

What it does, how it runs, and what it asks of you

What it does

Turns cameras you already own into an operations layer

Real-time table state across the floor (occupied, flagged, awaiting service) surfaced to staff who can act on it, spoken orders routed to the right kitchen station at the point of capture, and camera events correlated with order data so a manager sees one picture instead of two.

How it runs

On site, on the cameras that are already installed

Inference runs on hardware at the venue, so footage does not leave the premises. There is no new camera to buy, no sensor to mount and no wiring: the system connects to the CCTV that is already there and to the point-of-sale you already run.

What it needs

Cameras with a usable view, and a manager who wants the numbers

Coverage follows the cameras' view. The system flags blind spots, and floor staff must act on each alert for it to create value.

What we would watch

Missed orders, table turn time, and whether the floor uses it

Measured on your own sites before and after, and adoption counted honestly: a system the staff route around has not worked, however good the detection is.

Last reviewed:

See Restaurant Operations AI in your locations

Restaurant Operations AI is production-ready and actively deployed. Write to us to scope a pilot on your existing cameras.

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