ecommerce-returns-management

Name: ecommerce-returns-management
Author: nexscope-ai

490installs67forks

How to install ecommerce-returns-management?

nexscope-ai/ecommerce-skills/ecommerce-returns-management

$npx -y skills add nexscope-ai/eCommerce-Skills --skill ecommerce-returns-management

Installs into the current project.

Summary

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

Files · 1

View on GitHub

SKILL.md

1	# E-Commerce Returns Management 📥
2
3	Optimize e-commerce returns process and reduce return rates. Returns policy design, reverse logistics, root cause analysis, and customer retention through better returns experience.
4
5	Supported platforms: Amazon, Shopify, WooCommerce, Walmart, TikTok Shop, Etsy, eBay, BigCommerce.
6
7	Built by [Nexscope](https://www.nexscope.ai/?co-from=skill) — your AI assistant for smarter e-commerce decisions.
8
9	## Install
10
11	```bash
12	npx skills add nexscope-ai/eCommerce-Skills --skill ecommerce-returns-management -g
13	```
14
15	## Usage
16
17	```
18	My return rate is 22% on Amazon (clothing category). Industry average is 15-20%. Help me analyze why and reduce it.
19	```
20
21	## Capabilities
22
23	- Returns rate benchmarking by category
24	- Return reason analysis and root cause identification
25	- Returns policy optimization (balancing customer satisfaction vs cost)
26	- Reverse logistics workflow design
27	- Return cost calculation (shipping, restocking, loss)
28	- Product listing improvements to reduce returns (size guides, photos, descriptions)
29	- Customer retention strategies post-return
30
31	## How This Skill Works
32
33	Step 1: Collect information from the user's message — product, platform, current situation, and goals.
34
35	Step 2: Ask one follow-up with all remaining questions using multiple-choice format. Allow shorthand answers (e.g., "1b 2c 3a").
36
37	Step 3: Research and analyze using the frameworks and methodology below.
38
39	Step 4: Deliver structured, actionable output with specific recommendations, not vague advice.
40
41	## Output Format
42
43	- Start with a summary of findings
44	- Include specific data points and benchmarks where available
45	- Provide prioritized action items
46	- Mark estimates with ⚠️ when based on incomplete data
47	- End with concrete next steps
48
49	## Other Skills
50
51	More e-commerce skills: [nexscope-ai/eCommerce-Skills](https://github.com/nexscope-ai/eCommerce-Skills)
52
53	Amazon-specific skills: [nexscope-ai/Amazon-Skills](https://github.com/nexscope-ai/Amazon-Skills)
54
55	Built by [Nexscope](https://www.nexscope.ai/?co-from=skill) — your AI assistant for smarter e-commerce decisions.

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ecommerce-returns-management

490installs67forks

View on GitHub

How to install ecommerce-returns-management?

nexscope-ai/ecommerce-skills/ecommerce-returns-management

$npx -y skills add nexscope-ai/eCommerce-Skills --skill ecommerce-returns-management

Installs into the current project.

Summary

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

Files · 1

View on GitHub

SKILL.md

1	# E-Commerce Returns Management 📥
2
3	Optimize e-commerce returns process and reduce return rates. Returns policy design, reverse logistics, root cause analysis, and customer retention through better returns experience.
4
5	Supported platforms: Amazon, Shopify, WooCommerce, Walmart, TikTok Shop, Etsy, eBay, BigCommerce.
6
7	Built by [Nexscope](https://www.nexscope.ai/?co-from=skill) — your AI assistant for smarter e-commerce decisions.
8
9	## Install
10
11	```bash
12	npx skills add nexscope-ai/eCommerce-Skills --skill ecommerce-returns-management -g
13	```
14
15	## Usage
16
17	```
18	My return rate is 22% on Amazon (clothing category). Industry average is 15-20%. Help me analyze why and reduce it.
19	```
20
21	## Capabilities
22
23	- Returns rate benchmarking by category
24	- Return reason analysis and root cause identification
25	- Returns policy optimization (balancing customer satisfaction vs cost)
26	- Reverse logistics workflow design
27	- Return cost calculation (shipping, restocking, loss)
28	- Product listing improvements to reduce returns (size guides, photos, descriptions)
29	- Customer retention strategies post-return
30
31	## How This Skill Works
32
33	Step 1: Collect information from the user's message — product, platform, current situation, and goals.
34
35	Step 2: Ask one follow-up with all remaining questions using multiple-choice format. Allow shorthand answers (e.g., "1b 2c 3a").
36
37	Step 3: Research and analyze using the frameworks and methodology below.
38
39	Step 4: Deliver structured, actionable output with specific recommendations, not vague advice.
40
41	## Output Format
42
43	- Start with a summary of findings
44	- Include specific data points and benchmarks where available
45	- Provide prioritized action items
46	- Mark estimates with ⚠️ when based on incomplete data
47	- End with concrete next steps
48
49	## Other Skills
50
51	More e-commerce skills: [nexscope-ai/eCommerce-Skills](https://github.com/nexscope-ai/eCommerce-Skills)
52
53	Amazon-specific skills: [nexscope-ai/Amazon-Skills](https://github.com/nexscope-ai/Amazon-Skills)
54
55	Built by [Nexscope](https://www.nexscope.ai/?co-from=skill) — your AI assistant for smarter e-commerce decisions.

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