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ecommerce-returns-management

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Original

English
🇨🇳

Translation

Chinese

E-Commerce Returns Management 📥

电商退货管理 📥

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.
优化电商退货流程，降低退货率。通过优化退货体验，涵盖退货政策设计、逆向物流、根本原因分析以及客户留存等环节。
支持平台： Amazon、Shopify、WooCommerce、Walmart、TikTok Shop、Etsy、eBay、BigCommerce。
由Nexscope打造——助力您做出更明智电商决策的AI助手。

Install

安装

bash
npx skills add nexscope-ai/eCommerce-Skills --skill ecommerce-returns-management -g
bash
npx skills add nexscope-ai/eCommerce-Skills --skill ecommerce-returns-management -g

Usage

使用示例

My return rate is 22% on Amazon (clothing category). Industry average is 15-20%. Help me analyze why and reduce it.
我在Amazon（服装品类）的退货率为22%，行业平均水平是15-20%。帮我分析原因并降低退货率。

Capabilities

功能

  • 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
  • 按品类进行退货率基准对比
  • 退货原因分析及根本原因识别
  • 退货政策优化（平衡客户满意度与成本）
  • 逆向物流工作流设计
  • 退货成本计算（运费、重新入库费、损失）
  • 优化商品listing以降低退货率（尺码指南、图片、描述）
  • 退货后的客户留存策略

How This Skill Works

本Skill工作流程

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.
步骤1： 从用户消息中收集信息——商品、平台、当前状况及目标。
步骤2： 通过选择题形式一次性提出所有剩余问题，允许简短回答（例如："1b 2c 3a"）。
步骤3： 使用以下框架和方法进行调研分析。
步骤4： 提供结构化、可执行的输出内容，包含具体建议，而非模糊指导。

Output Format

输出格式

  • 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
  • 以调研结果总结开头
  • 包含可用的具体数据点和基准信息
  • 提供优先级排序的行动项
  • 基于不完整数据得出的预估内容标记⚠️
  • 以具体后续步骤结尾

Other Skills

其他Skill

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.
更多电商Skill：nexscope-ai/eCommerce-Skills
Amazon专属Skill：nexscope-ai/Amazon-Skills
由Nexscope打造——助力您做出更明智电商决策的AI助手。