Return & Refund Analyzer

Finds the SKUs bleeding the most margin to returns, tells you why they come back (the actual return reasons, not just the rate), and routes each to the right fix - product/QC, listing accuracy, sizing, or fulfilment. It ranks by money lost, not by return rate, so a high-volume hero SKU with a "small" rate outranks a tiny SKU that returns half the time. Live from DataDoe, read-only. No spreadsheets.

When to use this

• Margin looks thin despite good sales - returns are a quiet, common cause.
• A SKU's reviews or refunds are creeping up and you want the reason.
• Weekly/monthly quality review, or before scaling ad spend on a SKU (returns kill ROI).
• Sourcing or listing decisions - is this a product defect or a listing-accuracy problem?
• Trigger phrases: "returns", "refunds", "return rate", "why are people returning", "return reasons", "which products get returned", "returns costing me money", "reduce returns".

The framework. Rank by cost, diagnose the reason, route the fix