A sophisticated AI agent skill for managing the end-to-end reverse logistics lifecycle, from RMA authorization to fraud detection and vendor recovery.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install returns-reverse-logistics
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install returns-reverse-logistics using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Returns & Reverse Logistics skill codifies over 15 years of operational expertise into a technical framework for managing product returns. It serves as a senior operations manager persona within Openclaw Skills, bridging the gap between customer service and warehouse management. This skill provides deep logic for return merchandise authorization (RMA), multi-tier condition grading (Grades A-D), and complex disposition routing intended to protect profit margins while maintaining customer loyalty.
By leveraging this skill, developers can implement automated systems that handle policy evaluation across different product categories, manage Buy-Online-Return-In-Store (BORIS) complexities, and navigate international duty drawback requirements. It provides the technical foundation for balancing processing speed against inspection accuracy in modern retail and e-commerce environments.
To integrate this capability into your project, follow these steps within your Openclaw Skills environment:
# Install the returns and reverse logistics capability
openclaw install returns-reverse-logistics
# Configure your inventory and order management system (OMS) connectors
export RETURNS_LOGISTICS_CONFIG="./config/returns_rules.json"
Ensure your configuration file includes specific thresholds for your fraud scoring model and your preferred disposition partners for liquidation.
The skill organizes its operational data using the following taxonomy to ensure clarity across the reverse logistics lifecycle:
| Data Component | Description | Key Attributes |
|---|---|---|
| Policy Logic | Core rules for return eligibility | return_window, restocking_fees, category_exceptions |
| Grading Schema | Standards for physical inspection | grade_id, cosmetic_criteria, functional_requirements |
| Fraud Model | Weighted signals for risk assessment | sn_mismatch, weight_variance, customer_return_rate |
| Disposition Matrix | Routing logic for recovered items | routing_target, roi_threshold, recovery_percentage |
| Recovery Log | Tracking for vendor-side claims | rtv_id, defect_documentation, claim_status |
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