Item-Level Verification
Compare what was ordered with what was actually prepared, assembled, and handed off.
Vision AI for Food Operations
POS systems know what was ordered. They don't know what was actually made. Plainsight compares the order to the plate, so accuracy issues are caught in the kitchen instead of at the counter.
Accuracy is decided in the seconds between prep, assembly, and handoff. Plainsight makes those moments visible so teams can correct them in real time.
Compare what was ordered with what was actually prepared, assembled, and handed off.
Order #4281 · Window 3
1 missing item: hold order
Catch skipped modifiers, substitutions, and special requests before the bag is sealed.
See which items, shifts, and stations drive the most accuracy failures across locations.
The Cost of Inaccuracy
8.7%
Orders re-prepared after a customer catches the error.
12.4%
Transactions refunded or comped due to wrong items.
4.2%
Guest complaints tied directly to order accuracy.
How It Works
Use existing kitchen and assembly cameras — no new hardware.
Match observed items against the order as it was placed.
Surface missing items and modifier misses before handoff.
Track accuracy trends by item, station, shift, and location.
Plainsight standardizes accuracy across locations, shifts, and formats by making prep, assembly, and handoff observable, measurable, and comparable.
Your systems show what was ordered. Plainsight shows what was actually made.
Related Use Cases
Verify drive-thru orders and see where the lane slows down.
See prep and availability issues before they slow service.
Find the bottlenecks that cost you guests at peak.
Confirm standards are followed on every shift.
Compare execution across every store and region.