November 9, 2026
Return fraud is the deliberate misuse of a retailer's returns or refund process to get money or goods the customer isn't entitled to. Refund abuse is its softer cousin: bending the rules without outright crime, such as wearing an item once and sending it back. Together they are one of the largest sources of retail loss. Appriss Retail's 2026 benchmark report put preventable loss from returns fraud and abuse at about $100 billion in the US in 2025, with abuse alone roughly six times larger than outright fraud. This guide covers the main schemes, how to spot them, and what to look for in a detection tool.
1. Return fraud at a glance
2. What is return fraud?
3. Return fraud vs refund abuse
4. How return fraud works: the main schemes
5. The payment side: refund fraud by merchants
6. Warning signs of return fraud
7. How to prevent return fraud and refund abuse
8. How to choose the right tool
9. Everything you need to know about return fraud
10. FAQs
| Scheme | How it works | Type |
|---|---|---|
| Wardrobing | Use an item once, return it as new | Abuse |
| Empty box | Return a package with nothing or something else inside | Fraud |
| Item not received | Claim a delivered parcel never arrived | Fraud or abuse |
| Receipt fraud | Use stolen, altered or found receipts | Fraud |
| Refund as a service | Paid fraudsters manipulate refunds for customers | Organised fraud |
| Merchant refund fraud | Merchant refunds cards that never purchased | Merchant-initiated fraud |
Return fraud is the intentional misuse of a returns or refund policy to obtain money, store credit or goods through deception. It includes returning stolen merchandise, returning a different or broken item, faking non-delivery and using fake receipts.
Scale makes it hard to police. The National Retail Federation's 2025 Retail Returns Landscape report forecast $849.9 billion in US returns for 2025, a 15.8% return rate, with online return rates higher at about 19.3%. With that many legitimate returns, fraudulent ones blend in.
The line between the two is intent and legality.
Return fraud involves deception that breaks the law: a returned box with bricks inside, a stolen item returned for cash, a forged receipt.
Refund abuse exploits generous policies without clearly breaking them: wardrobing an outfit for an event, bracketing (ordering three sizes to keep one) at an unusual scale, or repeated "damaged on arrival" claims.
Appriss Retail's 2026 benchmark found abuse costs retailers about six times more than outright fraud. It is harder to challenge, because the customer is technically within policy, and challenging a genuine customer by mistake costs goodwill.
A customer buys clothing or electronics for one use, then returns it. It is the most common form of return abuse.
A package returns with nothing inside, a cheaper substitute or a broken version of the product. Warehouses processing high volumes may not inspect every return before the refund is issued.
The customer claims a delivered parcel never arrived and asks for a refund or replacement. Some are genuine; repeated claims from the same address rarely are.
Found, stolen or altered receipts are used to return items bought elsewhere or at a lower price.
Organised groups sell refund manipulation as a service, using social engineering on customer support to get refunds issued for orders their clients keep.
Shoplifted items are returned for cash or store credit, turning theft into money.
Most return fraud is committed by shoppers against retailers. Acquirers and payment facilitators face a different version: fraud committed by the merchant through the refund function.
A fraudulent merchant can issue refunds to cards that never made a purchase, moving money out of the acquirer's settlement. Refunds far larger than sales, refunds concentrated on a few cards, or refunds rising sharply in a new merchant's first months are all warning signs. This is a form of merchant-initiated fraud, and it leaves the acquirer exposed when the merchant disappears.
Refund patterns are also a key input to card scheme monitoring programs. Mastercard's Scam Merchant Monitoring Program counts refunds alongside chargebacks for newer merchants, so unusual refund activity can put an acquirer on a 72-hour investigation clock.
| For retailers | For acquirers |
|---|---|
| Same customer or address returning at high frequency | Refunds exceeding sales for a merchant |
| Returns weighing less than the shipped item | Refunds to cards with no matching purchase |
| Repeated item-not-received claims | Refund spikes in a merchant's first months |
| Returns without receipts, or with altered ones | Refunds concentrated on a small set of cards |
| Returns shortly after events or holidays | Refund behaviour far outside the merchant's peer group |
Track return history by account, payment card, device and address. Most abuse comes from a small share of customers, and history makes them visible.
Weigh returned parcels, inspect high-value items, and delay refunds on risky returns until the item is checked.
Keep generous terms for good customers and apply stricter ones, such as restocking fees or store credit only, to accounts with high return rates.
Train agents to recognise refund-as-a-service scripts, and require verification before issuing refunds over the phone or chat.
For acquirers and payment facilitators, monitor each merchant's refund behaviour over time and against peers. Refund fraud by merchants shows up in the ratios before it shows up in the losses. See how merchant fraud detection handles it.
1. Decide which side of the problem you're on. Retailers need returns fraud tools that score shoppers and returns. Acquirers and payment facilitators need merchant monitoring that watches refund behaviour across their portfolio.
2. Look for entity-level history. Return fraud and merchant refund fraud are both patterns over time. Tools that only look at single transactions miss them.
3. Check the actions available. Retail tools should adjust return terms by risk. Acquirer tools should support investigations and settlement holds.
4. Measure the customer cost. Challenging genuine returns costs goodwill. Track how many flagged returns were legitimate, not only how much fraud was stopped.
5. Test on your data. Ask vendors to score your historical returns or refunds before you commit.
For the chargeback side of the same problem, see our chargeback fraud guide.
| Topic | Key point |
|---|---|
| Definition | Deliberate misuse of returns or refunds for gain |
| Scale | $849.9 billion US returns forecast for 2025 (NRF) |
| Fraud vs abuse | Abuse costs about six times more than fraud (Appriss Retail) |
| Common schemes | Wardrobing, empty box, item not received, receipt fraud |
| Organised version | Refund-as-a-service groups |
| Payment-side risk | Merchants issuing fraudulent refunds |
| Core control | History-based risk scoring on customers or merchants |
Fraudio is built for the payment side of refund fraud. Its merchant fraud product monitors each merchant over time, tracking refunds, disputes and volumes against the merchant's history and its peers. Alert levels map to actions, including starting an investigation and holding settlement. It goes live in days to weeks, with pay-per-use pricing and no setup fees.
It is built for acquirers, payment facilitators and marketplaces that carry merchant liability, not for retailers screening their own returns.
Talk to our team about merchant refund monitoring
Return fraud is the deliberate misuse of a retailer's returns or refund process to obtain money, credit or goods through deception. Examples include empty-box returns, returning stolen items and using fake receipts. US retailers expected about $849.9 billion in returns in 2025, which makes fraudulent returns hard to spot.
The difference between return fraud and refund abuse is that return fraud involves illegal deception, while refund abuse exploits return policies without clearly breaking the law. Wardrobing is abuse; returning an empty box is fraud. Appriss Retail found abuse costs retailers about six times more than outright fraud.
Wardrobing is buying an item, usually clothing or electronics, using it once and returning it as new for a full refund. It is the most common form of refund abuse. Tags, inspection and return-history tracking help reduce it.
Return fraud and abuse together cost US retailers about $100 billion in preventable loss in 2025, according to Appriss Retail's 2026 benchmark report. Returns abuse accounted for about $86 billion of that. The NRF forecast total US returns of $849.9 billion for the year.
Refund-as-a-service fraud is when organised groups sell refund manipulation to customers, using social engineering on retailer support teams to get refunds for orders the customer keeps. The fraudster takes a fee, often a percentage of the order. Support verification and return-history checks help stop it.
Retailers can prevent return fraud by linking returns to customer history, verifying high-value returns before refunding, tailoring return terms by risk and training support teams to spot manipulation. Most abuse comes from a small share of customers. History-based scoring lets retailers keep generous policies for everyone else.
Merchants can commit refund fraud against their acquirer by issuing refunds to cards that never made a purchase, moving money out of settlement. It is a form of merchant-initiated fraud. Refund spikes, refunds larger than sales and refunds concentrated on a few cards are the main warning signs.
Strict return policies reduce some return fraud, but they also discourage genuine customers, since most shoppers weigh free and easy returns when choosing where to buy. Applying stricter terms only to high-risk accounts reduces fraud without penalising good customers. That approach depends on tracking return history accurately.
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