SEON Simplifies Chargeback Disputes with Automated Fraud Detection for eCommerce

SEON Unveils New Fraud Prevention Tool with Automated Chargeback Management SEON Unveils New Fraud Prevention Tool with Automated Chargeback Management

SEON, a leader in digital fraud prevention and compliance, has launched a new automated chargeback management solution designed to combine early fraud detection with automated dispute resolution. This tool empowers eCommerce merchants to effectively prevent fraud in real time and manage chargebacks seamlessly.

Small and medium-sized merchants face significant challenges, such as fraud losses, manual workflows, and limited fraud teams. Additionally, rising refund and return fraud, coupled with penalties from payment processors, further strain resources. High transaction volumes also often lead to false positives, which negatively affect the customer experience. Merchants typically lose 70-80% of disputed chargebacks, resulting in considerable revenue loss.

SEON’s new chargeback management solution, powered by Chargeflow, helps eCommerce merchants protect their profits by identifying suspicious buying patterns, automating the chargeback dispute process, and recovering lost revenue. Additionally, SEON offers dedicated fraud experts who monitor consumer transactions and continuously optimise fraud prevention platforms to meet the merchants’ specific needs.

“We recently integrated SEON’s eCommerce fraud solution and automated chargeback management, which reshaped our operations,” said Michael Draper, Vice President of Engineering, Tecovas, the world’s fastest-growing Western brand. “Their tools greatly streamline how we handle vetting transactions, allowing our team to focus on growing the business.”

“Fraud and chargebacks directly impact merchants’ profitability, especially for teams with limited resources,” said Matt DeLauro, President, GTM, SEON. “Our new automated chargeback solution enhances our existing eCommerce solutions and helps merchants efficiently manage disputes while staying ahead of emerging fraud patterns.”

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