Loop Returns report - and how to build it (with or without AI)
What a solid returns report should surface each week, plus the manual steps and the AI-powered way to spot rising return rates before they hurt margin.
How e-commerce teams run this report today
Time per report
Non-AI-native4-6 hrs
AI-native~15 min
Popular tools
- Native analytics - Pull the numbers from each tool's own dashboard
- Spreadsheets - Combine exports and compare periods by hand
Time to set up
2-3 hrs per run
Cadence: Quarterly, when someone finds time
Who does it: An analyst plus a marketer
Coverage: Spot checks on the biggest items
Delivered as: A spreadsheet, on request
Implement it with AI
#slackExample thread
Hubi9:00 AM
Weekly Return & Refund Pattern Watch
- Total returns: 412 units (+18% vs last week)
- Refund value: $9,340
- Flagged: Classic Denim Jacket - return rate jumped from 6% to 15%
- Top reason logged: "fit smaller than expected"
- Likely cause: size chart mismatch after supplier change
- Recommended fix: update size chart copy and add a fit-comparison note to the product page
M
Marta9:04 AM
Any other SKUs trending the same direction, or just the jacket?
Hubi9:06 AM
Just the jacket this week - everything else is within normal range. I'll flag immediately if a second SKU crosses 10%.
Schedule
Weekly · recurring
Integrations
ShopifyChannel
#slack
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