Data & Analytics
Real-Time Fraud Detection with Machine Learning
AI system that blocks fraudulent transactions before they go through
Problem
Current situation
Monthly losses of €25k due to fraud (stolen cards, chargebacks). Manual detection system slow and ineffective (only 40% of fraud detected).
€25k/month in fraud losses
Only 40% of fraud detected
False positives blocking legitimate customers
Manual analysis too slow
Solution
How AI solves the problem
ML model trained on millions of transactions that analyses suspicious patterns in real time and automatically blocks/alerts with a risk score.
Real-time analysis (< 100ms)
Unusual pattern detection
Risk scoring per transaction
Continuous learning of new fraud patterns
Drastic reduction of false positives
FAQ
Frequently asked questions
Implementation time?
Between 1 and 8 weeks depending on your infrastructure.
What ROI to expect?
Positive ROI within 3-6 months thanks to operational savings.
For what company size?
Large enterprises, SMEs. Solution adapted to your scale.
Impact
Measurable results
Fraud detected
Before40%
After96%
+140%
Monthly losses
Before25k€
After1k€
-96%
False positives
Before15%
After2%
-87%
Annual ROI
Before0€
After288k€
Économies