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.
npx -y skills add nexscope-ai/ecommerce-skills --skill ecommerce-returns-management --agent claude-codeInstalls into .claude/skills of the current project.
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.
npx skills add nexscope-ai/eCommerce-Skills --skill ecommerce-returns-management -g
My return rate is 22% on Amazon (clothing category). Industry average is 15-20%. Help me analyze why and reduce it.
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.
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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