# Amazon Return Reduction

> Return rate reduction — root cause analysis, listing accuracy, packaging improvements, size guides

Source: https://skillsagentes.com/skills/nexscope-ai/amazon-skills/amazon-return-reduction
Repository: https://github.com/nexscope-ai/Amazon-Skills
Author: nexscope-ai
License: MIT
Updated: hace 4 meses
Context cost: 25 tok installed, 457 tok once triggered, 457 tok with every bundled file
Bundle: 1 file, 2 KB
Permissions requested: none declared

## Install

```bash
npx -y skills add nexscope-ai/Amazon-Skills --skill amazon-return-reduction --agent claude-code
```

## What it does

- Analiza causas raíz de devoluciones en productos de Amazon
- Revisa precisión del listing frente a lo recibido por el cliente
- Sugiere mejoras de empaque y guías de talla para reducir devoluciones
- Entrega recomendaciones priorizadas con datos y próximos pasos concretos

## Use it when

- Necesitas reducir la tasa de devoluciones de un producto en Amazon
- Quieres identificar causas raíz de devoluciones frecuentes
- Buscas mejorar precisión del listing, empaque o guías de talla

## What triggers it

- "Ayúdame a reducir las devoluciones de mi producto en Amazon"
- "Analiza por qué mi listing en Amazon UK tiene tantas devoluciones"
- "Necesito mejorar la guía de tallas de mi producto para bajar devoluciones"

## Before you install

- Needs on PATH: npx

## Files

- SKILL.md — 2 KB

## SKILL.md

Reproduced verbatim from nexscope-ai/Amazon-Skills under MIT. This section is the upstream document and is in English.

# Amazon Return Reduction

Return rate reduction — root cause analysis, listing accuracy, packaging improvements, size guides

**Supported platforms:** Amazon (US, UK, DE, CA, JP, AU, and all marketplaces).

Built by [Nexscope](https://www.nexscope.ai/?co-from=skill) — your AI assistant for smarter e-commerce decisions.

## Install

```bash
npx skills add nexscope/amazon-return-reduction
```

## Usage

```
Help me with amazon return reduction for my e-commerce business.
```

## Capabilities

- Return rate reduction
- root cause analysis
- listing accuracy
- packaging improvements
- size guides

## 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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Skills Agentes — https://skillsagentes.com/skills/nexscope-ai/amazon-skills/amazon-return-reduction