ecommerce-returns-management
This Claude Code skill analyzes and optimizes e-commerce returns processes across eight major platforms including Amazon, Shopify, and eBay. Use it to benchmark return rates against industry standards, identify root causes of returns, redesign returns policies, improve reverse logistics workflows, and develop customer retention strategies after purchase returns.
git clone --depth 1 https://github.com/nexscope-ai/eCommerce-Skills /tmp/ecommerce-returns-management && cp -r /tmp/ecommerce-returns-management/ecommerce-returns-management ~/.claude/skills/ecommerce-returns-managementSKILL.md
# 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](https://www.nexscope.ai/?co-from=skill) — your AI assistant for smarter e-commerce decisions. ## Install ```bash 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](https://github.com/nexscope-ai/eCommerce-Skills) Amazon-specific skills: [nexscope-ai/Amazon-Skills](https://github.com/nexscope-ai/Amazon-Skills) Built by [Nexscope](https://www.nexscope.ai/?co-from=skill) — your AI assistant for smarter e-commerce decisions.
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