Refund abuse prevention for merchants

Refund good customers, not fraudsters.

Block fraudsters and their networks,
convert opportunists back to profitable shoppers,
and give good customers great returns experiences.

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Fraud doesn't stop at checkout.

Return fraud, refund-fraud-as-a-service, and costly item-not-received claims are revenue killers that can also damage your brand reputation.

But refund abuse is not as visible or clear-cut as traditional fraud.

Merchants can often lack the holistic view necessary to expose systematic refund policy abusers and efficiently deal with opportunism.

We understand the complexities and challenges of refund abuse and the cross-team coordination effort that comes with it.

Ravelin uses custom AI models and graph networks to help merchants accurately quantify and block refund abuse – empowering you not just to enforce your policies and curb abuse but to deliver great experiences to legitimate customers.

Tackle the gray areas of refund abuse

Ravelin trains custom machine learning models on your specific landscape, combined with consortium insights and rich data, to catch the subtle abuse patterns that rigid rules miss.

Taking a 360-degree view, our system considers the shopper's entire lifetime activity when evaluating refund requests in real time, complete with transparent risk scoring that approves loyal customers while flagging suspicious activity.

Empower your fraud team to make – and automate – faster, smarter decisions using unified exchange tracking and clear keep rates that expose hidden refund abuse patterns.

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With third-party fraud under control, we can leverage Ravelin to tackle other types of fraud that erode profit for River Island, such as refund abuse, which has the potential to save us a significant amount of revenue."

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River Island: Trusting Ravelin since 2021

Lacey Cole

Payments Product Owner

River Island

Uncover costly fraud rings

Serial refund abusers often create multiple accounts to bypass your refund policies.

Ravelin's visual graph database links real-time purchase, return, and chargeback data into a powerful graph network to exposes hidden connections.

If a single account is flagged, the system immediately exposes the entire network – instantly stopping connected accounts, fraud-as-a-service and fraud rings of any size.

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Leverage rules to enforce refund policy

Take complete control of your refund strategy with an advanced rules engine driven by real-time data features like refund frequency and location-based trends.

Multiple checkpoint support allows your team to trigger nuanced interventions earlier in the customer journey.

Replace rigid allow/prevent rules with tailored and automated risk management.

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Defend against automated returns fraud

To combat the rising threat of automated returns fraud, Ravelin automatically flags and labels refund requests that have been facilitated by an AI agent.

This immediate transparency allows you to apply specialized rules or scrutinize agentic refunds more carefully.

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Track refund abuse – and your prevention

Ravelin's rich reporting and analytics suite empowers your team to easily track high-level business performance or dive into granular, refund-level data for deep-dive analysis.

With our built-in AI queries, you can effortlessly run historical analyses and build custom reports to track the long-term impact and ROI of your refund abuse prevention strategy.

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See the latest Ravelin product updates

Discover everything that's new and improved on the Ravelin Dashboard and across our solutions by watching our latest Product in Focus video.

Ready to get started?

Discover how our bespoke platform reduces fraud losses, boosts approval rates, and wins good customers.

Speak with one of our fraud experts to learn how we can support your company's secure growth.

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More about Refund abuse

Articles

Refund abuse KPIs: How to measure and reduce refund fraud rates

Can Colak, Senior Product Manager

Articles

Your refund policy could land you in VAMP hot water – here's how refunds affect chargeback ratios

Nelda Biltauere, Senior Fraud and Payments Researcher

Videos

The silent signal: Using AI to fight refund abuse (video)

Himayak Dhar, Senior Project Manager – Integrations