Canonical page: https://www.kuudo.com/features/skills/amazon-seller/refund-return-monitor/

Amazon Seller Skills v0.7.1 Reference

# Monitor Amazon Refunds and Returns

Explain return volume, reasons, dispositions, concentration, listing-accuracy themes, and prior-period movement across FBA and merchant-fulfilled orders. The Refund and Return Monitor Skill works from a Seller Central export or a live Selling Partner report, keeps Amazon's raw reason and disposition values intact, and quotes a return rate only against a compatible shipped-units denominator.

Analysis with pinned taxonomy

[Try the starter prompt](#starter-prompt)[Connect Skills](/docs/quick-start/chatgpt-skills/)

Example output visualization: Return causes

Return causes

skill output

Controllable

38%

Remorse

29%

Operations

24%

Other

9%

Primary input

FBA or MFN return records

Primary output

Return-rate and reason analysis

[

Powered by

Amazon Selling Partner MCP

](/features/amazon-selling-partner-mcp/)[

Source contract

amazon-sp-refund-return-monitor

PolyForm-Shield-1.0.0

](https://github.com/KuudoAI/skills/blob/674e68adc1c0242e5ea440583f82d26c93c86b1d/skills/amazon-sp-refund-return-monitor/SKILL.md)

Is this the right Skill?

## Use it for a clear operating job.

Best for

*   High-return ASIN diagnosis
*   Reason and disposition analysis
*   Prior-period return monitoring

Use another path when

Quoting a return rate when shipped-unit denominators are missing or incompatible.

Starter prompt

## Start with the task, then add your scope.

Copy this into a connected client and replace the account, date, ASIN, or threshold details with yours.

```text
Analyze our FBA and MFN returns for the last 90 days versus the prior period. Classify reasons, identify red-flag ASINs and listing-accuracy themes, and calculate return rate only where shipped units support it.
```

The Skill will request any required context or approval before guarded actions.

The outcome

## A defined result, not a generic answer.

A reproducible returns report that separates controllable, remorse, operational, and other causes and identifies the ASINs that need action.

Inputs

*   FBA or MFN return records
*   Shipped units when available
*   Date range and comparison period

Outputs

*   Return-rate and reason analysis
*   Red-flag ASIN list
*   Markdown, workbook, or dashboard

Sample report

## Read the exact report it produces.

The report this Skill produced from a live 90-day FBA returns pull — 7,160 return units across 1,199 ASINs, anonymized but otherwise unedited.

[Read the sample report](/features/skills/amazon-seller/refund-return-monitor/example-report/) [Download the markdown](/features/skills/amazon-seller/refund-return-monitor/example-report/index.md)

[

FBA customer returns · US · 90 days

anonymized

Return units analyzed7,160

Came back sellable74.3%

Controllable via listing or product fixes~49%

Listing accuracy is the #1 lever — five of the top 20 ASINs have NOT\_AS\_DESCRIBED as their modal return reason.

Full report · 9 sectionsRead it →



](/features/skills/amazon-seller/refund-return-monitor/example-report/)

Workflow

## The playbook your agent follows.

1.  01
    
    ### Acquire and inspect
    
    Load the return report from your agent-ready data lake through Agent Flow MCP, then inspect its actual fields and coverage.
    
2.  02
    
    ### Normalize taxonomy
    
    Map reasons and dispositions into a pinned, auditable classification.
    
3.  03
    
    ### Calculate carefully
    
    Compute concentration, deltas, and return rate only when a valid shipped-unit denominator exists.
    
4.  04
    
    ### Render the deliverable
    
    Produce the requested report format without recomputing the analytical result.
    

Guardrails

## What keeps the workflow dependable.

Return rate is never quoted without a valid denominator

Reason classifications remain reproducible

Listing-accuracy themes are evidence, not automatic listing edits

Connected systems

## The context and tools it coordinates.

Amazon Agent Flow

Returns reports

Analysis runtime

Keep building

## Related workflows and field guides.

[All Amazon Seller Skills →](/features/skills/amazon-seller/)

[Related SkillListing optimizer](/features/skills/amazon-seller/listing-optimizer/)[Related SkillSales and Traffic analyzer](/features/skills/amazon-seller/sales-traffic-analyzer/)[Product surfaceAmazon Selling Partner MCP](/features/amazon-selling-partner-mcp/)

amazon-sp-refund-return-monitor

## Give your agent the complete playbook.

Connect Skills once, then start with the prompt above whenever this job comes up.

[View prompt](#starter-prompt)[Connect Skills](/docs/quick-start/chatgpt-skills/)