Case Study: Xandr reduces revenue loss with Anodot autonomous business monitoring

Xandr cuts anomaly detection from up to a week to less than a day with Anodot

Xandr, AT&T's advertising technology company, operates a massive-scale marketplace that handles billions of transactions daily. Their complex platform required precise monitoring to prevent revenue loss from anomalies like blank ads being served. Before implementing Anodot's autonomous business monitoring platform, their fragmented toolset made detecting these issues manually a slow and difficult process, taking up to a week and resulting in lost revenue for both Xandr and its customers.

By implementing Anodot's machine learning-based solution, Xandr was able to autonomously monitor business metrics and detect anomalies in real-time. The results were significant, reducing the time to detect root causes from up to a week to less than a day. Anodot's platform identified specific incidents that resulted in savings of thousands of dollars per event, protecting revenue for both Xandr and its customers and demonstrating a strong return on investment.

Xandr