Claimscan vs Riskified
| Claimscan | Riskified | |
|---|---|---|
| Primary problem | Manipulated or AI-generated return/damage photos | Fraudulent orders and payment chargebacks |
| Stage of the lifecycle | Post-purchase, at the return/refund claim | At checkout, when the order is placed |
| Core method | Layered image forensics with a human-in-the-loop verdict | Order approval with a chargeback guarantee |
| Integration effort | Drag-and-drop or API; no checkout changes | Platform/checkout integration |
| Best for | SMB/D2C sellers refunding on photos alone | Merchants prioritising approval rates and chargeback cover |
Complementary, not competing
Approving good orders and blocking bad ones at checkout does nothing about a fabricated damage photo submitted weeks later. Conversely, photo forensics does not score a payment. Sellers facing both risks often run a checkout platform such as Riskified alongside a return-claim forensics tool such as Claimscan.
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Frequently asked questions
Is Claimscan an alternative to Riskified?
Not directly — they solve different problems at different stages. Claimscan verifies return-claim photos; Riskified approves orders and covers chargebacks at checkout.
Can Riskified detect AI-generated return photos?
That is outside its checkout-fraud focus. Detecting AI-generated or manipulated claim photos is a forensic-imaging task, which is what Claimscan specialises in.
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