AI-Powered Anomaly Detection

Unexpected changes in EDI transaction volume can signal an issue before it disrupts operations or impacts revenue.

Cleo’s AI-powered Anomaly Detection reviews up to a year of historical transaction data to establish expected volume baselines for each eligible trading partner and document type. It then automatically monitors daily activity for significant increases or decreases and alerts your team when something falls outside the expected range.

In this demo, see how Anomaly Detection helps teams:

• Catch unusual EDI activity earlier

• Quickly identify affected partners and document types

• Drill into historical context spanning 30 to 365 days

• Customize notification preferences to reduce noise

Unlike manual monitoring, Anomaly Detection works in the background, giving teams earlier warning when transaction activity changes, so they can investigate faster and protect revenue.

Want to see how it can help your business? Contact our team at sales@cleo.com to learn more and receive a customized demo.