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ecommerce-returns-management

ecommerce-returns-management

github.com/nexscope-aiOther1.3k1.1k installsUpdated 9w ago
Repository

About ecommerce-returns-management

A skill for e-commerce sellers who want to analyze returns and improve returns operations. It covers return causes, policy, reverse logistics, costs, listing improvements, and customer retention across the listed platforms.

Key features

  1. 01Benchmark return rates by category
  2. 02Analyze return reasons and root causes
  3. 03Optimize returns policies
  4. 04Design reverse logistics workflows
  5. 05Calculate return-related costs
  6. 06Improve listings and post-return retention

Use cases

  1. 01Investigate a high return rate
  2. 02Revise a returns policy to balance satisfaction and cost
  3. 03Estimate shipping, restocking, and loss costs
  4. 04Reduce returns through clearer product listings

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/nexscope-ai/ecommerce-skills --skill ecommerce-returns-management

After installing, type/ecommerce-returns-managementin Claude Code to confirm it loaded.

Details

From the project README

E-Commerce Returns Management 📥

Optimize e-commerce returns process and reduce return rates. Returns policy design, reverse logistics, root cause analysis, and customer retention through better returns experience.

Supported platforms: Amazon, Shopify, WooCommerce, Walmart, TikTok Shop, Etsy, eBay, BigCommerce.

Built by Nexscope — your AI assistant for smarter e-commerce decisions.

Install

npx skills add nexscope-ai/eCommerce-Skills --skill ecommerce-returns-management -g

Usage

My return rate is 22% on Amazon (clothing category). Industry average is 15-20%. Help me analyze why and reduce it.

Capabilities

  • Returns rate benchmarking by category
  • Return reason analysis and root cause identification
  • Returns policy optimization (balancing customer satisfaction vs cost)
  • Reverse logistics workflow design
  • Return cost calculation (shipping, restocking, loss)
  • Product listing improvements to reduce returns (size guides, photos, descriptions)
  • Customer retention strategies post-return

How This Skill Works

Step 1: Collect information from the user's message — product, platform, current situation, and goals.

Step 2: Ask one follow-up with all remaining questions using multiple-choice format. Allow shorthand answers (e.g., "1b 2c 3a").

Step 3: Research and analyze using the frameworks and methodology below.

Step 4: Deliver structured, actionable output with specific recommendations, not vague advice.

Output Format

  • Start with a summary of findings
  • Include specific data points and benchmarks where available
  • Provide prioritized action items
  • Mark estimates with ⚠️ when based on incomplete data
  • End with concrete next steps

Other Skills

More e-commerce skills: nexscope-ai/eCommerce-Skills

Amazon-specific skills: nexscope-ai/Amazon-Skills

Built by Nexscope — your AI assistant for smarter e-commerce decisions.

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