Returns Reason Tracking

A practical example

Example: at return initiation, the customer picks from a fixed list and then a sub-reason, for example 'fit' followed by 'runs small'.

Each item gets its own reason, so one mixed return still yields clean data.

What to evaluate before investing

• Ask whether reason lists are configurable per product category and whether sub-reasons are supported.
• Check whether reasons can be mapped to your own taxonomy and synced to product or merchandising tools.
• Confirm that reason data is captured per item, not per return, so mixed returns stay analyzable.

Limitations and tradeoffs

Customer-selected reasons reflect the buyer's perception, not verified causes; a 'damaged' selection still needs warehouse inspection to confirm what actually happened.