Your Customers Received the Order.
They're Claiming They Didn't.
Friendly fraud — chargebacks filed by customers who actually received their order — accounts for over 86% of all food delivery disputes. It's not shoplifting. It's a refund abuse that the platforms enable by default, and most restaurant owners don't even know it's happening at scale.
Of food delivery chargebacks qualify as friendly fraud — fulfilled orders disputed anyway
Chargebacks911 Global Dispute Index
In friendly fraud losses projected globally across e-commerce and delivery sectors by 2026
Juniper Research, 2023
Of friendly fraud is committed by first-time offenders — not repeat criminal fraudsters
Chargebacks911 survey data
More likely to repeat — customers who successfully commit friendly fraud once repeat within 90 days
Ethoca consumer research
When a good customer does a bad thing
Friendly fraud is a chargeback filed by a legitimate customer for a transaction they authorized and benefited from. In the restaurant context, it looks like this: a customer orders $48 of food on UberEats, receives the delivery, eats the meal, and then claims it never arrived or was completely wrong. The platform issues a refund. You lose the food, the labor, and the revenue.
The "friendly" part is a misnomer — there's nothing friendly about it. The term simply distinguishes this pattern from criminal fraud (stolen cards, account takeovers), where a genuinely unauthorized third party is the perpetrator. In friendly fraud, the customer themselves initiated the order. They just decided afterward that they'd rather not pay for it.
Food delivery is uniquely vulnerable because the transaction is faceless, the evidence trail is thin, and the platforms are structured to defer to the customer. When a driver drops off an order and leaves, there's no receipt signature, no ID check, no moment of accountability. A customer who claims non-receipt faces essentially no barrier to getting their money back.
How friendly fraud shows up in food delivery
"Order Never Arrived"
The most common claim. The customer says the order was never delivered, even though the platform's GPS data shows the driver completed the drop-off. Without a photo of the completed order leaving the kitchen, the restaurant can't even prove the food was prepared — let alone delivered.
"Items Were Missing"
The customer acknowledges receiving the order but claims items were missing. This is difficult to dispute without photographic evidence of the completed, packaged order. A photo of a fully assembled bag — with all containers visible — is the only objective proof that nothing was omitted.
"Order Was Wrong"
The customer claims the order contained wrong items. In reality the order was prepared correctly, but the customer saw an opportunity for a free meal. Photos that capture the labeled containers, modification stickers, or opened items check at the pass can directly refute this claim.
Warning signals that a dispute is friendly fraud
| Signal | What It Means | Risk Level |
|---|---|---|
| Platform delivery confirmation exists for the disputed order | GPS data shows the driver completed the drop-off at the customer's address — contradicting the "never arrived" claim | High |
| Same customer has disputed multiple orders in the past 90 days | Repeat disputers are statistically far more likely to be committing intentional fraud rather than experiencing genuine fulfilment failures | High |
| Dispute filed more than 24 hours after delivery | Genuine complaints about missing or wrong orders are typically filed immediately. Delayed disputes often indicate a calculated decision to seek a refund after consuming the food | Medium |
| Large order value — $50+ — disputed on first-ever order | Some fraudsters specifically place large first orders knowing platforms are eager to retain new customers and will refund quickly without scrutiny | Medium |
| Dispute claims partial missing items on a large order | Claiming one or two missing items from a large order is a common technique to make the claim seem reasonable while still recovering significant refund value | Medium-Low |
| Order was a peak-hour delivery with documented driver pickup | Orders with clear driver pickup confirmation and delivery GPS data leave little room for genuine non-receipt — dispute is more likely opportunistic | Lower |
How to reduce and respond to friendly fraud
Prevent
Build a photographic order record
The single most effective prevention tool is a kitchen-pass camera that photographs every order before it leaves. This eliminates most friendly fraud cases before they reach the dispute stage — and the ones that do get disputed are easily won.
Detect
Track dispute patterns by customer and address
Maintain a log of every disputed order — customer account, address, platform, order value, and claim type. Patterns emerge quickly. A customer who disputes every third order is not experiencing genuine bad luck; they're gaming the system.
Respond
Submit evidence on every dispute, every time
Never accept a chargeback passively. Even when you lose individual disputes, a consistent track record of contested claims signals to platforms that you monitor your orders — and makes your restaurant less attractive to serial abusers.
Escalate
Report repeat offenders to the platforms
Most platforms have internal fraud teams that respond to merchant-reported patterns. When you identify a serial abuser, report them with your evidence log. Platforms can flag accounts, adjust refund policies, and share pattern data across their restaurant network.
Visual proof makes friendly fraud unprofitable
Friendly fraud persists because it's easy and consequence-free. There's no face-to-face interaction, no accountability, and — until now — no evidence that contradicts a customer's claim. PlatePal changes the math by creating objective photographic proof for every single order that leaves your kitchen.
When your kitchen produces a timestamped photo of a complete, correctly assembled order at the moment of packaging, friendly fraud becomes much harder to execute. The customer's claim collides with hard evidence. The platform can see the photo. The bank can see the photo. The fraudulent story falls apart.
Beyond individual dispute wins, restaurants in our pilot have seen their chargeback frequency decrease over time — because serial fraudsters move on to easier targets. Visual evidence doesn't just win disputes; it deters the behavior in the first place by making your restaurant a poor target for refund abuse.
Explore more ways to protect your restaurant
Stop absorbing losses from
fraud you can prove never happened
Join our closed pilot. Every order gets a timestamped photo. Every dispute has evidence. Friendly fraud becomes just fraud — and you have the receipts.
Apply for the Pilot ProgramLimited spots. No long-term commitment.