Case Study: a leading EMEA mobile operator cuts bad debt and fraud with Neural Technologies’ Optimus

How a leading telecom company solved the growing problem

a leading EMEA mobile operator was struggling with significant fraud and bad debt issues, including subscription fraud, roaming fraud, and handset subsidy losses. Their manual, decentralized fraud management processes were inadequate for their rapid growth. To tackle this, they selected Neural Technologies and its Optimus fraud management system to automate detection and centralize their efforts.

Neural Technologies implemented the highly scalable Optimus system, which used a combination of traditional rules and advanced neural predictive analytical models to detect fraud in real-time across multiple data streams. The results were substantial, with the customer's bad debt dropping from 2.8% to 1.3% and the accuracy of fraud identification improving to a 60% good-to-bad ticket ratio. The system also successfully handled a nearly 20-fold increase in their subscriber base, proving its scalability and delivering a strong return on investment.