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-codeInstalls 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.
Featured
Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →
