Case Study: Barion halves work hours and cuts manual review time by 90% with SEON

Barion, Leading Payment Gateway Saves 50% Work Hours and Keeps Acquiring Costs At Bay

Barion, a digital wallet and payment gateway serving 3,700+ merchants and millions of consumer payments, faced rising payment fraud as it scaled. Manual reviews averaged about 10 minutes per suspicious transaction, creating time-zone bottlenecks, growing backlogs and the risk of higher acquiring costs. To solve this, Barion adopted SEON’s machine learning–driven fraud prevention platform and features like blacklisting and real-time risk scoring.

SEON’s 24/7 engine and ML models delivered immediate results: Barion cut work hours by 50% and reduced manual review time by 90% (from ~10 minutes to about 60 seconds), lowered fraud rates and helped keep acquiring costs at bay. Barion also notes ongoing improvements as SEON’s system continues to learn and refine protections.

Barion

Sandor Kiss

Chief Executive Officer