- TRENDS
- FINANCE
- REPORTS
- HUMAN
Short answer
How can I use AI to find product quality issues?
Your agent pulls return data from the last 30 days to find patterns in why customers are sending items back. It groups return reasons and refund totals to show you exactly which products are costing you the most. You'll get a clear view of where your stock is failing.
Where your insights land.
The outcomes of your analysis.
The agent organizes the return data into these specific categories.
TRENDS
Identify faulty SKUs
The agent flags specific products that show a spike in return reasons. You'll see which items are driving your return rate up.
FINANCE
Calculate refund impact
By totaling refund amounts, the AI shows the actual cost of these quality issues. This helps you prioritize which fixes matter most.
REPORTS
Summarize return reasons
The agent categorizes text-based return reasons into logical groups. You get a clean breakdown of why customers are sending things back.
HUMAN
Review high-cost issues
The AI highlights the most expensive return clusters for you to inspect. You decide if you need to contact a supplier or pull stock.
The workflow
What your AI does when the data arrives.
The agent handles the heavy lifting of data retrieval and grouping.
Fetch return logs
The agent pulls the most recent return records directly from your Linnworks account.
list_returnsCategorize reasons
It reads through the return reason descriptions to find common patterns.
list_returnsAggregate costs
The agent sums up the refund amounts associated with each specific product or reason.
list_returnsFlag outliers
It identifies products where the return volume or cost exceeds your normal thresholds.
list_returns
Try it
Copy these to start.
Paste these prompts into your chat to begin the analysis.
Starting points
These are just ways to start the conversation. You can change the timeframes or specific products mentioned.
Linnworks Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_2SQF41SaZdlg13yu4951sXlwGOsv0vFxrCtYN38l/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Linnworks capabilities are ready to use.
{
"mcpServers": {
"linnworks-e-commerce-ops-mcp": {
"url": "https://edge.vinkius.com/vk_preview_2SQF41SaZdlg13yu4951sXlwGOsv0vFxrCtYN38l/mcp"
}
}
}List all returns from the last 30 days and tell me which product has the highest refund total.
Analyze the return reasons for my top 5 selling SKUs and look for quality issues.
Show me a summary of all refund amounts from the past month grouped by return reason.
Which products have had more than 5 returns in the last two weeks?
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Linnworks once, then ask.
Just link your account through the Vinkius dashboard. Your credentials stay encrypted, and you can immediately start asking questions about your returns.
Connect Linnworks to your AIFAQ
How this task behaves.
- 01
Can the AI process returns automatically?
No. The AI only reads and analyzes the data. You must manually process returns within Linnworks.
- 02
Can the AI change my refund settings?
No. The agent has read-only access to your return data through the list_returns tool.
- 03
Does it look at all my historical data?
It only looks at the data you ask for. If you ask for the last 30 days, it won't see older records unless you specifically request them.
- 04
Can I ask about specific SKUs?
Yes. Once connected, you can ask about any specific product or SKU found in your return logs.
- 05
Will it notify me when a return happens?
No. This is an on-demand analysis tool. You trigger the analysis by asking your agent.
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