Automated Chargeback Prevention Software
Take Control of Chargeback With Smart Prevention and Recovery
AI-powered chargeback prevention stops disputes in real time. SEON’s automated software protects your revenue and merchant accounts while eliminating the need for manual reviews.
THE SMARTER WAY TO STOP FRAUD
Fewer Chargebacks, Faster Fraud Decisions
MORE HYPE THAN HELP
Stop Paying Hidden Costs on Chargeback Guarantees
HOW CHARGEBACK MANAGEMENT AUTOMATION WORKS
Stop Fraud. Recover Chargebacks. All On Autopilot.
1.
Chargeback Received
Once a chargeback is initiated, we’re instantly alerted, triggering a swift response that logs key data and begins gathering evidence for a strong, data-driven defense.
2.
Build Case
We automatically gather and enrich key data, including delivery proof, customer messages and billing checks, in order to build a strong, verifiable dispute case.
3.
Evidence Submission
Our AI-collected signals are compiled into a clear, bank-compliant evidence package that is well-structured, relevant and submitted on time to boost win rates and reduce manual work.
4.
Chargeback Won
Our process helps customers win up to 2x more disputes, backed by a 4x ROI guarantee. Recover more revenue, cut false claims and deter fraud, while saving effort.
Choose How to Integrate with SEON
The choice is up to you: integrate directly with SEON’s APIs or through the AWS Marketplace.
Discover How Companies Win
“I couldn’t believe how fast the results came. Our chargeback rates dropped by 91% in one month. Moreover, the number of fraud catch rates continued to improve in the following 6 months, which is the benefit of deploying a machine learning algorithm to fine-tune accuracy.”
Gergely Kalman
CEO at Unbuffered
“The simplicity of the product, the simplicity of the machine learning rules engine, plus the support and working with a dedicated fraud specialist – it all made a tremendous difference.”
Jonas Jaeger
Co-Founder of Buycycle
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Chargeback Prevention Software FAQs
Chargeback prevention software helps merchants reduce disputes by identifying fraud and friendly fraud before chargebacks occur, then automates evidence collection and submission when disputes do happen. It combines upstream prevention with downstream recovery.
When a chargeback alert arrives, the system automatically retrieves transaction records, device data, delivery confirmation and other relevant evidence. AI assembles a dispute package tailored to the reason code and submits it within the bank deadlines.
Winning evidence depends on the reason code. Common proof includes device fingerprints, IP geolocation, delivery confirmation, customer communication and behavioral data indicating an intentional purchase. Generic templates rarely succeed; specific, relevant evidence wins.
Yes. SEON unifies fraud prevention and chargeback management so signals flow between both. Fraud patterns inform chargeback risk. Dispute outcomes refine fraud rules. Integrated intelligence improves both prevention and recovery.
Card networks typically flag merchants exceeding 1% chargeback ratios. Sustained high ratios can trigger monitoring programs, increased fees or account termination. Prevention helps maintain ratios well below the threshold.
Protect Margins With Automated Chargeback Prevention
“I couldn’t believe how fast the results came. Our chargeback rates dropped by 91% in one month. Moreover, the number of fraud catch rates continued to improve in the following 6 months, which is the benefit of deploying a machine learning algorithm to fine-tune accuracy.”
Gergely Kalman, CEO at Unbuffered
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