Will this slow down the kitchen during a rush?

Pack verification takes under 400ms on-device — faster than printing a sticker label. Most operators see throughput stay flat or improve because rework and re-pack incidents drop.

What items can the AI recognize?

Out of the box: burgers, sandwiches, pizzas, salads, bowls, wings, fries, drinks, and most common QSR items. Custom items can be trained quickly from a few hundred labeled examples, often from your existing pack photos.

Does this work for delivery aggregators (DoorDash, Uber Eats, etc.)?

Yes. We integrate with aggregator-routing platforms (Olo, Otter, Deliverect, Cuboh) to pull expected items per order, regardless of which marketplace the order came from.

Is this useful if we're not on delivery aggregators?

Yes. Catering, meal-kit, ghost kitchen, and pickup-heavy concepts all benefit. The core value — catching wrong/missing items before the order leaves — applies anywhere orders are packed for off-premise consumption.

Can we use this for catering and large orders?

Yes. For large orders, the SDK supports multi-photo capture (one per pan or tray) and aggregates the results into a single order-level verification record.

AI Food Prep & Packaging Verification

Catch wrong items, missing sides, and bad packaging before the order leaves the kitchen. AI-verified packing photos cut refunds, complaints, and 1-star reviews.

62%

Fewer 'missing item' refunds

<400ms

Per-order verification

+0.4 stars

Avg. delivery rating lift

$0.008

Per verification

Try Live Demo

Why Delivery Orders Go Wrong

Common challenges teams face without automated verification

Missing Items

The #1 driver of refund requests on Uber Eats, DoorDash, and Grubhub is a missing item — a side, a sauce, an entire entrée — that the kitchen forgot to pack.

Wrong Item Substitutions

Cooks plate the wrong burger, the wrong protein, the wrong size. The customer gets the wrong meal and the platform refunds them at the restaurant's expense.

Broken Seals & Spills

Unsealed lids, weak bags, and improperly packed liquids lead to spills during delivery. Customers blame the restaurant, not the driver.

No Evidence in Disputes

When a customer claims an item is missing, the restaurant has no proof of what was actually packed. Refunds get granted automatically.

Inconsistent Plating

Photos on the menu look nothing like what shows up. Bad plating drives 1-star reviews and complaints that operators can't trace back to a specific shift.

How It Works

Order Ready for Pack

When the order is plated, the packer opens the order on their station tablet or phone. The expected items are pulled from the POS or order system.

Pack Photo

The packer takes a top-down photo of the packed order. VerifyAI's SDK guides them to a clean overhead frame with all items visible.

AI Item Match

AI identifies each item in the photo — entrée, side, sauce, drink — and checks against the expected order. Missing or extra items are flagged on the spot.

Hand-Off With Evidence

Verified orders are released to the driver with a timestamped photo. Disputes are resolved instantly with kitchen-side proof.

Key Features

Order-Aware Item Detection

Recognizes plated dishes, sides, beverages, and sauce cups. Maps detected items to the order's expected line items in real time.

Seal & Packaging Checks

Confirms tamper seals are present, bag is closed, and lids are visible on cups. Catches obvious packaging failures before pickup.

Allergen Tag Spotting

Optional check for allergen stickers or labeled bags for orders with declared allergies. Adds a safety layer beyond ticket-printing alone.

POS / Aggregator Integration

Pulls expected items from Toast, Square, Olo, Otter, Deliverect, and major aggregators. No double-entry required.

Per-Station Analytics

See pack accuracy by location, shift, and packer. Coach the outliers and reward the high performers with data.

Dispute Evidence

Every order has a hashed, timestamped photo. When the platform charges back, you have proof of what was packed.

Measurable Impact

62%

Fewer Missing-Item Claims

Reduction in 'missing item' refunds within 60 days