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nexscope-ai avatar

Ecommerce Returns Management

nexscope-ai/ecommerce-skills
695 installs721 stars
Summary

This handles returns analysis and optimization for major ecommerce platforms including Amazon, Shopify, and WooCommerce. You give it your return rate and category, it benchmarks against industry averages, digs into root causes, and suggests specific fixes to your listings, policies, and reverse logistics. The workflow is straightforward: it collects your situation, asks one follow-up with multiple choice options, then delivers prioritized action items with actual data points. Good for when your returns are eating into margins and you need concrete steps beyond generic advice. Built by Nexscope, so it fits into their broader ecommerce toolkit if you're already using their other skills.

Install to Claude Code

npx -y skills add nexscope-ai/ecommerce-skills --skill ecommerce-returns-management --agent claude-code

Installs into .claude/skills of the current project.

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Files
SKILL.mdView on GitHub

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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Categories
Design & UI/UX
First SeenJun 3, 2026
View on GitHub

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