Case Study: Payoneer achieves fewer false alerts, faster fraud detection, and accurate cash forecasting with Anodot

A Anodot Case Study

Preview of the Payoneer Case Study

Payoneer Sees Unlimited Potential for the Insights Anodot Can Provide

Payoneer, a cross‑border payments platform serving millions across 200+ countries, needed a scalable, mission‑critical monitoring and forecasting solution to support rapid growth. Static threshold alerts generated many false positives, wasting engineering time; meanwhile the company needed reliable fraud and cybersecurity detection across thousands of services and accurate currency forecasts to avoid tying up capital or causing customer payout delays.

Payoneer deployed Anodot’s Autonomous Business Monitoring and Forecasting to monitor ~200,000 metrics and correlate logs from 1,000+ services, delivering monitoring‑as‑a‑service to Production Services and forecasting for Treasury across 100+ countries and 50 currencies. Anodot’s ML eliminated false positives by learning seasonality, enabled fast fraud and security detection, automated trend alerts for customer care, and produced accurate cash forecasts—reducing operational effort, improving time‑to‑detection and resolution (Anodot cites up to 80%), and helping prevent revenue loss.


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Payoneer

Aviv Oren

Production Services Group Leader


Anodot

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