Returnless Refunds: The Abuse Hiding in the Keep-It Rule
A returnless refund makes sense when the item costs less to keep than to ship back, and it becomes fraud when the claim is false. Forter reports that 80 percent of fake return claims are now backed by AI-made evidence, and fabricated damage is the fastest-growing form of return abuse. The fix is to reserve returnless refunds for low-value, high-shipping-cost items and verify the rest.
Why the keep-it rule exists
A returnless refund is the right answer when the math is obvious. The item costs $12, the return shipping costs $9, the warehouse processing costs $8, and the item cannot be resold anyway. Keeping it costs the retailer $12. Shipping it back costs $29 and returns a $12 item that needs grading, cleaning, and relisting. The rule saves money, reduces waste, and spares the customer a trip to the post office. It is a good policy, and it is the policy that organized fraud rings exploit most efficiently.
The exploitation is straightforward. A customer claims the item arrived damaged, or never arrived, or was the wrong item, and the retailer refunds without asking for the product back. The customer keeps the item and the money. Multiply that by a ring running the same claim through dozens of accounts, and the policy that saved $17 per return starts costing thousands per week. Forter stopped an $800,000 ring that abused exactly the instant-refund policy, money returned before the product is received.
The AI evidence problem
The newest version of the scam does not even need a damaged item. Forter reports that 80 percent of fake return claims are now backed by AI-made evidence, and fabricated damage is the fastest-growing form of return abuse. A photo of a cracked screen, a torn seam, or a crushed box can be generated in seconds, and it looks real enough to pass a human reviewer who sees hundreds of claims a day. The damage photo, once the most reliable evidence in a return claim, is now the easiest thing in the claim to fake.
The Merchant Risk Council's 2026 report puts the scale in context. Refund and policy abuse was the top attack type, experienced by 41 percent of fraud professionals surveyed, and 44 percent of merchants received returns of used or damaged products, the most common abuse after never-arrived claims. The NRF's 2025 survey found 65 percent of retailers tracking empty-box returns saw them increase, and 64 percent saw more decoy returns. The keep-it rule sits at the center of all of it, because it removes the one check that used to catch a false claim: seeing the product.
Where to draw the line
The answer is not to end returnless refunds. It is to scope them. Reserve the keep-it rule for items where the math is unambiguous: low value, high shipping cost, and no resale value. Set a per-customer cap on returnless refunds, and a velocity trigger: two keep-it refunds in thirty days gets a human review, three gets the return required. Require the product back for anything above a value threshold, and for any item with resale value, because the resale value is what makes the fraud profitable.
The second control is evidence verification. A damage photo should be checked against the product's known packaging, the order's delivery record, and the customer's claim history, not just eyeballed. A claim with a generated photo, a first-time account, and a high-value item is a different claim from a photo of a genuinely crushed box from a five-year customer. The retailers that catch returnless refund abuse are the ones that treat the claim as a data problem, not a customer service problem, and link it to the account, the device, and the address behind it.
The policy that survives contact with fraud
Keep the keep-it rule, but make it conditional. Low value, high shipping cost, no resale value, and a customer with a normal claim history gets the refund and keeps the item. Anything above the threshold, any velocity flag, or any evidence that does not check out gets the product back. The customer who genuinely received a broken $12 item still gets a fast refund. The ring filing forty claims from one address hits the wall at the second one. And the warehouse stops paying to process returns that were never going to be resold anyway.
Related reading
Three earlier posts on this site cover ground “Returnless Refunds: The Abuse Hiding in the Keep-It Rule” builds on: Return Grading: The Checks That Decide Resale, Refurb, or Scrap, Returned Inventory Grading: A, B, and C Is a Decision, Not a Description, and Return Rates by Category: Nineteen Percent Is the Number, Your Category Is the Question.
Frequently asked questions
What is a returnless refund?
A refund where the retailer tells the customer to keep the item instead of shipping it back. It makes sense when the item costs less to keep than to ship back, process, and resell, typically for low-value items with high shipping costs.
How do fraud rings abuse returnless refunds?
By filing false claims that an item arrived damaged or never arrived, then keeping the item and the refund. Organized groups run the same claim through many accounts, and Forter reports 80 percent of fake return claims are now backed by AI-generated evidence.
Should retailers stop offering returnless refunds?
No. The policy saves real money on low-value returns. The fix is to scope it: reserve keep-it refunds for low-value, high-shipping-cost items with no resale value, cap them per customer, and require the product back above a value threshold or on any velocity flag.
How can you spot a fake damage photo in a return claim?
Check it against the product's known packaging, the order's delivery record, and the customer's claim history, not just by eye. AI-generated damage photos are now common, and a first-time account claiming a high-value item with a generated photo is a different claim from a long-term customer with a genuinely crushed box.