Camera AI · DeepObserve.ai

Pay for what came through the back door

When a vendor arrives, the back door camera records the delivery, counts crates and sacks and reads the scale display. The goods receipt is checked against what the camera saw.

Camera AI powered by DeepObserve.ai

5 crates counted42.6 kgGRN-0877 · Fresh FarmsExpected 5 cratesSeen on camera 5Matched

What it replaces

The paper, calls and spreadsheets this takes off your team's plate.

TodayReceiving signed without counting
Camera count at the doorCrates, sacks and cartons
TodayWeights written by hand
Scale reading capturedLinked to the receipt line
TodayDisputes with vendors
Clip of the deliveryShared when there's a shortfall

How it works

Hairnet onNo hairnetHygiene score96/ 100

Every delivery on record

Vendor arrival, unloading and departure are recorded against the purchase order, so there's a clip for every receipt.

  • Arrival time against the promised slot
  • Delivery clip linked to the GRN
  • Receipts with no delivery event flagged
PO-1042Purchase orderVendorGRN-0877Goods receivedBILL-5531Vendor bill3-way matchPOGRNBillPayment₹42,180Scheduled

Counts and weights checked

Crates, sacks and cartons are counted on camera, and the weighing scale display is read when it's in view. Differences from the receipt are flagged.

  • Count per delivery
  • Scale reading capture
  • Short supply recorded against the vendor
New orderPO-1042 · Outlet 3Tomato 24 kgOnion 30 kgPaneer 12 kgAcceptEdit qtySlot: Tomorrow 7 AMUpload invoiceDelivery trackedat the back door

Fair to vendors too

When a vendor disputes a shortfall, the clip settles it quickly, and punctual vendors get credit in their scorecard.

  • Clip shared with the vendor
  • Delivery punctuality score
  • Rejected quantities with evidence

Getting started

The order we set it up in.

Survey

Check the back door camera angle.

Mark zone

Define the receiving area.

Link POs

Match deliveries to expected orders.

Verify

Counts checked against receipts.

What changes

What teams using Goods Receiving Verification should expect to see.

  • Receipts that match what was delivered
  • Vendor disputes settled with evidence
  • Receiving fraud harder to hide

Questions

What if the scale isn't visible to the camera?

We can recommend moving the scale into view, or the receiver enters the weight with a photo on the app.

Does it work at night deliveries?

Yes, if the area is lit. Night performance is checked during the pilot.

Does it identify items like tomatoes vs onions?

It counts containers reliably; identifying produce inside crates depends on visibility and is assessed during the pilot.

See DeepRestaurantAI with your own outlets

We'll connect a sample of your POS data and walk you through sales, purchasing, food cost and DeepObserve.ai camera AI for your format.