Case Study: Razorpay achieves real-time anomaly detection and faster fraud alerts with Anodot

Razorpay cuts ticket resolution delays with Anodot for real-time anomaly detection

Razorpay, India's largest payment solution provider, faced challenges with delayed reactions and alerts for fraud and anomalies, which risked financial losses and client satisfaction. Their manual detection processes led to slow issue identification and lengthy root cause analysis. They partnered with Anodot to implement its Business Monitoring platform for automated, real-time anomaly detection.

By using Anodot’s machine learning and AI-driven platform, Razorpay achieved automated monitoring of key metrics like payment success rates and fraudulent transactions. The solution provided real-time alerts across multiple channels, removing manual detection efforts and reducing financial impact. Anodot proved to be a valuable asset for timely notifications and quick feedback, according to Razorpay's BI and Data Strategy lead.

Razorpay