E

ecommerce-returns-management

作者:nexscope-aiBeta

Returns management — rate reduction, reverse logistics, root cause analysis.

Beta skill: functional and available to install, but still being reviewed and improved by the Nexscope team.

インストール

このコマンドを AI エージェントに送信します。

npx skills add https://github.com/nexscope-ai/eCommerce-Skills/tree/main/ecommerce-returns-management --skill ecommerce-returns-management

ドキュメント

---

name: ecommerce-returns-management

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

metadata:

nexscope:

emoji: "📥"

category: ecommerce

---

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.

リンク

GitHub