Return Fraud Detection Agent: AI-Powered Loss Prevention with Microsoft Copilot

This scenario guide teaches loss prevention specialists how to deploy a Microsoft Copilot Studio agent that automatically identifies suspicious return activity before it becomes a significant revenue loss. Learners discover how to integrate point-of-sale and e-commerce transaction data, configure the agent to detect irregular return frequencies and volumes, cross-reference patterns against customer history, and set up automated fraud alerts and reports. The scenario provides a practical framework for shifting from manual exception reviews to proactive, AI-assisted fraud prevention.