Measured outcomes
Fraud losses: down 41%
False-positive ratio: 11:1 → 4:1
Customer experience: legitimate transactions unblocked 67% more often
Sub-50ms scoring latency at peak
A tier-1 bank’s fraud detection ran on a legacy rules engine with high false positives. Real fraud was missed; legitimate transactions were blocked.
Real-time ML scoring pipeline — gradient boosting models trained on 4 years of transaction history with feature engineering for behavioural patterns. Models score 4M transactions per hour with <50ms latency. Continuous retraining on outcomes.
Connect with a Mergen architect to scope an outcome-led engagement.
Connect with a certified architect and explore how Mergen can accelerate your transformation.
Receive a comprehensive platform health check and a prioritized roadmap.
See how organizations like yours achieved measurable results.
Ready to go? Tell us about your initiative and we'll scope an engagement in 48 hours.