Fraud

Catch abuse before you approve

Every return request is screened before it is approved, and anything suspicious is raised to your team with a clear reason attached, instead of passing quietly and eating your margin.

Illustrative exampleBefore any creditscreening runs before credit is issued or a label is created, never after
Illustrative example4 signalswritten out in front of the agent on every flagged case, not a black boxunusual frequency · multiple addresses · high value · an item that always comes back
Illustrative exampleMinutesa flagged case waits for a person, everything else clears on your rules
Protect margin

Screening before approval, not after

The difference between a loss and a held claim is timing. Every return passes a risk check before any credit is issued or any label is created, so you stop the case while it is still in your hands rather than chasing it afterwards.

Learn more about Returns
Review a flagged returnProduct demo
Review a flagged returnPreparing the demo
Save time

Only risky cases reach you

We do not ask your team to review every return. Ordinary cases flow through automatically under your policy, and only the ones carrying risk signals wait for a human decision, with the reason for the flag written out in front of the agent.

See the dashboard
Return review decisionProduct demo
Return review decisionPreparing the demo
Fairer calls

Photos and details together

Review product photos and the inspection result beside the return details. The evidence helps your team understand the case before deciding whether to approve it.

Learn more about Intelligence
Product photos and inspectionProduct demo
Product photos and inspectionPreparing the demo
Better experience

Rules that fit your customers

Build a rule around previous customer orders or the value of a return. You choose the conditions and what happens when they match, then review the rule before saving it.

Learn more about Exchanges
Customer order ruleProduct demo
Customer order rulePreparing the demo

Frequently asked questions

No. It raises suspicious cases for your team with the reason for the flag. Automatic rejection is an option you enable yourself, for specific cases, if you want it.

Behavioural patterns such as unusual return frequency, inconsistent addresses, high values, and products returning at an abnormal rate. The list evolves as your own return data grows.

No. Screening targets repeated exploitation alone, and store-at-fault cases are accepted with no fee. An ordinary return clears on your rules like any other.

It starts on baseline rules from day one, and sharpens as your store's return history accumulates and the patterns become clearer.

Tabdeel

Protect margin before you lose it

Book a demo and see how a flagged case appears to your team, and what options they have when it does.

Book a demo