A tier-1 telecom operator serving over 20 million subscribers, including a large base of international roamers, faced significant revenue losses due to roaming fraud. The operator needed a real-time system that could detect and stop fraudulent activity before charges accumulated.

The Challenge: Roaming Fraud Draining Revenues

The telecom operator faced multiple fraud challenges that significantly impacted revenue, customer trust, and operational efficiency. Key issues included:

• SIM box fraud rerouting international calls through low-cost channels. 
• Subscription fraud where fake identities were used to exploit roaming services. 
• Delayed detection fraudulent transactions were identified days or weeks later, after substantial revenue leakage. 
• High financial losses in millions annually. 
• Customer dissatisfaction due to unexpected charges or blocked accounts. 

Manual fraud monitoring was no longer scalable, especially with growing international traffic.

The Solution: AI-Powered Real-Time Fraud Detection

Amantra deployed an AI-driven fraud detection platform with real-time monitoring and decisioning capabilities. Key solution components:

• Streaming Data Analysis of CDRs (Call Detail Records), usage logs, and roaming activity in milliseconds. 
• Behavioral AI Models trained to identify unusual usage patterns (e.g., sudden location switches, excessive international calls). 
• Adaptive Risk Scoring for every transaction, updated dynamically. 
• Instant Blocking & Alerting suspicious activity automatically suspended with alerts to fraud teams. 
• Continuous Learning Models that improved detection accuracy over time. 

The Results: Fraud Prevention at Speed & Scale

• 80% reduction in roaming fraud incidents. 
• Real-time blocking prevented millions in potential revenue leakage. 
• 95% detection accuracy with adaptive learning. 
• 40% reduction in false positives, ensuring genuine customers weren’t impacted. 
• Strengthened customer trust through proactive fraud protection. 

Bottom Line: By shifting from delayed fraud detection to real-time AI-driven prevention, the operator safeguarded revenues while delivering secure roaming services to customers worldwide.