Benefits
The Return Abuse AI Agent proactively detects and reduces return fraud by analyzing customer behavior, product return patterns, and historical transaction data. It identifies high-risk customers and products, flags abnormal return activity, and generates actionable insights for retail, customer service, and operations teams. By automating detection and response, the agent helps reduce revenue loss, logistics costs, and policy misuse while protecting legitimate customer experiences.
Problem Addressed
Retailers face rising return abuse driven by fraud, promotion misuse, wardrobing, and recurring product issues. These behaviors increase operational costs, strain reverse logistics, and erode margins. Manual review processes are slow, inconsistent, and reactive, allowing abuse patterns to persist undetected for too long.
What the Agent Does
- Identifies customers exhibiting abnormal return behavior using historical order and return patterns
- Analyzes product-level return trends across categories, SKUs, and variants
- Flags potential return abuse cases using configurable thresholds and risk scoring
- Routes alerts to customer service, fraud, and quality assurance teams for timely action
- Generates and deploys data-driven return policy adjustments by product category or customer segment
Standout Features
- Behavioral profiling of customers and products using historical order and return data
- Automated return abuse detection with urgency scoring and abuse type classification
- Dynamic return policy rule generation by category, product, or customer risk level
- Two-way feedback loop that continuously updates datasets to improve detection accuracy
- End-to-end execution using a no-code Domo workflow for fast deployment and scalability
Who This Agent Is For
This agent is designed for teams who want to:
- Reduce revenue loss caused by fraudulent or excessive returns
- Identify high-risk customers and products earlier
- Lower reverse logistics and handling costs
- Protect legitimate customers from overly strict return policies
- Turn return data into proactive operational decisions
- Automate return abuse detection without manual review
Ideal for: retail operations teams, ecommerce leaders, fraud prevention teams, customer service managers, finance teams, and merchandising teams.
