Automated Chargeback Management
Take Control of Chargeback With Smart Prevention and Recovery
AI-powered chargeback resolution from start to finish with no manual effort required.
THE SMARTER WAY TO STOP FRAUD
Fewer Chargebacks, Faster Fraud Decisions


MORE HYPE THAN HELP
Stop Paying Hidden Costs on Chargeback Guarantees
Automated Chargeback Management
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
Learn More About Fighting Chargebacks
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AI & Machine Learning
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Take the First Step Toward Transformative Fraud 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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