Returns & Reverse Logistics for Openclaw

A sophisticated AI agent skill for managing the end-to-end reverse logistics lifecycle, from RMA authorization to fraud detection and vendor recovery.

nocodemf
v1.0.0
Feb 25, 2026
2
1.5k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install returns-reverse-logistics

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

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).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Returns & Reverse Logistics?

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.

Returns & Reverse Logistics Use Cases

  • Automating Return Merchandise Authorization (RMA) based on tiered policy rules and customer loyalty status.
  • Implementing standardized inspection and grading workflows for warehouse teams to ensure consistent product recovery.
  • Identifying and mitigating return fraud patterns such as wardrobing, swap fraud, and organized retail crime.
  • Calculating the economic ROI for disposition decisions like restocking, liquidating, or refurbishing items.
  • Managing vendor recovery (RTV) and defect claims to recover costs from suppliers for faulty merchandise.

How Returns & Reverse Logistics Works

  1. The AI agent evaluates an incoming return request against the defined policy engine, checking windows, category-specific rules, and customer purchase history.
  2. A fraud scoring model is applied to the transaction, assigning a risk value based on signals like return frequency and serial number verification.
  3. Upon physical receipt, the skill guides the inspection process through a standardized grading framework (A through D) to determine product condition.
  4. The agent executes disposition routing logic to decide if the item should be restocked as new, sold as open-box, liquidated, or destroyed.
  5. Financial workflows are triggered to process refunds or credits, and where applicable, vendor recovery claims (RTV) are initiated for defective units.

Returns & Reverse Logistics Setup

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.

Returns & Reverse Logistics Data Schema & Taxonomy

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

Returns & Reverse Logistics Advanced Features

  • Weighted Fraud Scoring: Real-time risk assessment that flags high-probability fraud like swap fraud or wardrobing for human review.
  • Disposition Economics: Automated decision-making that calculates the most profitable route for an item based on its grade and refurbishment costs.
  • Cross-Channel Logistics: Specialized logic for handling omnichannel returns, including BORIS and international duty drawback documentation within Openclaw Skills.
  • Exception Management: A judgment framework for granting goodwill returns or loyalty-tier overrides without breaking standard policy controls.
  • Vendor Recovery ROI: Automated tracking of defect rates and recovery shipments to ensure maximum credit collection from manufacturers.

SKILL.md


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