Return Reasons Are Lost Goldmines
E-commerce stores lose 20-30% revenue to returns but do not analyze why. Return forms have free-text fields that go unread. Product defects and sizing issues repeat across hundreds of returns. Teams lack time to manually categorize and analyze return data.
Turn Return Data Into Product Improvements
AI return analyzer that reads customer return reasons from free-text forms, categorizes issues (sizing, quality, expectations, wrong item), identifies trending problems by product, surfaces root causes, and suggests fixes--enabling data-driven return reduction.
Integrates with return portals (Loop, Happy Returns, custom)
Reads free-text return reasons and categorizes automatically
Identifies trends: "Product X has 40% returns for sizing too small"
Root cause analysis: sizing chart inaccurate, product photos misleading
Suggests fixes: update size chart, add measurement video, improve photos
Tracks return rate changes after implementing fixes
From Return Data to Reduced Returns
Collect Return Reasons
Customers fill return form: "Too small, I ordered M but fits like S." System captures free text.
AI Categorization
Claude categorizes: sizing issue, suspected cause: size chart inaccurate.
Trend Analysis
Dashboard shows Product X has 38% sizing returns, mostly "runs small." Aggregates feedback.
Action & Monitor
Team updates size chart, adds "Order size up" note. Monitors return rate: drops from 38% to 22%.
Key Features
Root Cause Detection
Not just "sizing issue." Identifies "Photos show model in size M, but model is 6'2\" - misleading for average customer."
Product Comparison
Compares return rates across products. "Hoodie A has 12% returns, Hoodie B has 35% - investigate B."
Supplier Quality Tracking
Identifies which suppliers have higher defect rates. "Vendor X: 8% defect returns vs. 2% average."
Cost Impact
Calculates ROI of fixes. "Fixing sizing issue saves $15K annually in returns and re-shipping."
Return Analysis Stack
Who Benefits?
Apparel Brands
Reduce sizing returns 30% with data-driven size chart improvements. Save thousands in return shipping.
Electronics Sellers
Identify defective batches early. Recall before hundreds of returns and bad reviews.
Furniture E-Commerce
Discover photos do not show scale accurately. Add dimension overlays, reduce \"too big/small\" returns.