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Fraud Detection at Scan

ReturnGuard

Every return tells a story. Some are fiction. ReturnGuard catches the patterns that hide between your systems — and adapts the moment a new one shows up.

See the product in action

Three returns hit the counter within an hour. Same store, same screen. Each one already scored by the time the cashier looks up.

Mei. Forty orders, two years. Wrong colour on a coat, swapping for the right size. Score: 12. Pass.

Priya. Two years, eighteen orders, no loyalty status, no complaints. Until thirty days ago. Basket size doubled. Return rate jumped from 12% to 78% — all "doesn't fit," on sizes she'd bought and kept before. New wallet on the last three orders. Address changed once. Score: 87. Manager review at the counter, in the same flow as a normal return.

Daniel. One of three accounts at the same address. Six chargebacks in 90 days, all resolved against the retailer. Payment routing changed twice this week. Score: 96. Central team.

One engine. Order history, returns, customer records, payments — read as one signal. Three tiers. Right action, right level, real time.

The Problem

Returns abuse hides between your systems

Returns are growing across APAC retail. Abuse is growing inside them. But the pattern that gives abuse away lives across order history, return reasons, customer records, and payment data — and a tool watching any single channel will miss it.

The pattern crosses systems. Order data, return data, payment data — each one alone misses the case.

Pure-fraud SaaS sits in one channel. Chargeback screening or transaction monitoring, not the full return loop.

Cashiers can't triage in real time. Without a verdict at the counter, the right action becomes the slowest action.

Abuse evolves faster than vendor release cycles. By the time a rule ships, the pattern has shifted.

Our Solution

Rules that read across your stack

ReturnGuard sits inside your existing systems and reads across them — order history, returns, customer records, payments — to triage every return at the moment of decision. Three tiers. One engine. Editable in minutes.

Cross-data rules

Reads order history, returns, customer database, and payment routing as one signal. Catches the pattern any single system misses

Three tiers, not one verdict

Auto-approve, manager review, central team. The right action at the right level, decided at the counter — not after the customer has left.

Minutes-to-live iteration

A new abuse pattern shows up, the rule that catches it ships the same day. No vendor release cycle, no integration project

Built into your existing stack

No rip and replace. Wraps your POS, returns flow, customer database, and payment systems as they are

We’re an IT professional services company who can make offshore delivery work

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