Benefits
This AI-powered agent proactively detects and mitigates return abuse in retail operations by profiling customer behaviors, analyzing product return patterns, and generating actionable insights. It flags high-risk customers and products, notifies internal teams, and automates return policy adjustments based on actual abuse trends, significantly reducing operational costs and fraud.
Problem Addressed:
Excessive product returns due to fraud, misuse of promotions, or product defects result in lost revenue, higher logistics costs, and degraded customer trust. Manual identification of such cases is time-intensive and reactive.
What the Agent Does:
• Identify customers with abnormal return behaviour patterns
• Analyse product return trends across categories and variants
• Flag return abuse cases using well-defined thresholds
• Route alerts to customer service and quality assurance teams
• Generate and deploy stricter return policies based on data-driven insights
Standout Features:
• Full behavioral profiling for customers and products using historical order/return data
• Automated return flagging with urgency and abuse type classification
• Dynamic policy rule generator per product category
• Two-way feedback loop into datasets for self-evolving optimization
• End-to-end execution in a no-code Domo workflow
