Consumer insights, eBooks, Reports, Trends
Radar: Bring Visibility to Every Refund Decision
Verify unexpected items and high‑risk returns with AI detection and physical parcel checks.
decreasing margins
Returns Fraud Is Eroding Retail Margins At Scale
Up to 20% of retail returns value is lost to fraud — over $100B every year.
Most retailers refund before inspection, paying out based on what a return was claimed to be, not what it actually is. Even when returns are checked, issues like unexpected items or unsellable goods are rarely classified as fraud and instead treated as operational exceptions.
Either way, the result is the same: refunds paid for invalid returns, creating hidden margin loss at scale.
Prevent Return Fraud with Rebound Radar
DETECT
Radar predictive AI scores every return request instantly, flagging suspicious activity before processing begins.
VERIFY
Flagged returns are physically inspected in Rebound’s hubs, graded, and documented with photo evidence.
DECIDE
Photo evidence, grading results, and fraud categorization in your CS portal. Your CS team can act on every flagged case with confidence, backed by proof.
Radar Solution
By focusing on high‑risk returns, Radar reduces fraud, lowers operational effort and cost, and maintains a frictionless experience for genuine customers.
Consumer Portal website page screenshots (794 x 389 px) (4)
Identify High‑Risk Returns Before They’re Refunded
Radar scores returns at initiation using order, product, and behavioural signals to identify likely invalid cases. Only high‑risk returns are flagged for verification, while low‑risk returns move through without added friction.
- Risk‑based scoring applied at return initiation
- Only high‑risk returns are flagged for additional checks, leaving genuine customers unaffected
- Low‑risk returns continue without added friction
- No personal customer data required
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Physical Proof That Stops Fraudulent Claims
Flagged returns are inspected at ReBound hubs to verify contents. Items are graded and documented with photo evidence, capturing condition. This replaces assumptions with proof, enabling clear decisions on valid vs. invalid returns.
- Targeted physical inspection at ReBound hubs
- Condition grading and photo capture for flagged returns
- Evidence linked directly to each return
- Proof enables accurate, defensible refund decisions
return fraud
Confident, Evidence‑Backed Refund Decisions
Radar scores returns at initiation using order, product, and behavioural signals to identify likely invalid cases. Only high‑risk returns are flagged for verification, while low‑risk returns move through without added friction.
- Risk‑based scoring applied at return initiation
- Only high‑risk returns are flagged for additional checks, leaving genuine customers unaffected
- Low‑risk returns continue without added friction
- No personal customer data required
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Full Visibility into Returns Fraud and Abuse
Radar provides visibility into return behaviour, showing where and how invalid returns occur. Teams can analyse patterns by product, market, return type, or location to identify repeat abuse and emerging risks.
- View scale of unverified and invalid returns over time
- Identify fraud patterns by market, item, and return type
- Track repeat abuse and emerging trends
- Use insights to adjust policies and operations
Proven Impact on Revenue, Costs, and CX
75%
of invalid damage claims denied
2×
faster resolution of fraud‑related CS tickets
20%
reduction in repeat abuse
Traditional Approaches
- × Add friction for customers to reduce risk
- × Rely heavily on rules or behavioural signals
- × Prematurely flags fraud or detects it too late
- × Offer limited or no physical verification
- × Base decisions on probability, not proof
ReBound Radar
- ✔ Keeps returns flexible for genuine shoppers
- ✔ Combines fraud signals with physical checks
- ✔ Verifies suspicious returns before refunding
- ✔ Captures photo evidence for flagged items
- ✔ Supports decisions with verified proof
Frequently Asked Questions
Returns are risk‑scored at the moment they are initiated using order, product, and behavioural signals. Only those with elevated risk are flagged, and verification happens before the refund decision.
Flagged returns are routed to inspection at a hub, where items are checked, graded, and documented with photo evidence.
Photos, grading results, and fraud categorisation are provided for each flagged return and can be accessed via the CS Portal or API.
Discrepancies such as wrong items or condition issues are documented and classified, allowing teams to distinguish between valid returns and potential fraud.
No. Only high‑risk returns are selected for additional checks, and existing return policies can remain unchanged.
See How Radar Works for Your Business
Get a short walkthrough of how Radar verifies returns and prevents invalid refunds in your operation.
Assess Your Returns Fraud Risk