Stop returns before they happen. Analyzes your return data to identify exactly WHY products get sent back — bad sizing info, misleading photos, unclear descriptions — then generates improved listings, accurate sizing guides, and fit recommendations that keep products in customers' hands. ## What's included - **Return-reason classifier** — by reason code, by product, by customer segment - **Listing improvement recommendations** per high-return SKU — title, description, photos, sizing guide gaps - **Accurate sizing guides** generated from return-reason patterns (e.g. "runs small" → measurement table in inches + cm) - **Fit recommendations** at the checkout — based on customer-provided measurements vs return patterns - **Photo audit** — flags listing photos that mislead (color cast off, scale ambiguous, only-from-one-angle) - **Cohort analysis** — which acquisition channel sends the highest-return customers - **Return rate trend** by SKU, category, season - **Negative-margin SKU identifier** — products where return + restocking cost exceeds profit ## Limitations - **Requires return data export** — Shopify / Amazon / Etsy / WooCommerce; you connect API or paste CSV - **Doesn't auto-update listings** — generates the recommendations; you (or VA) update via platform - **Photo audit is heuristic** — flags issues; doesn't reshoot photos - **Pairs with Loop / Returnly / Aftership** for actual returns processing - **Sizing recommendations need product measurements** — agent calculates the table; you ship products that match it ## Best fit DTC brands + marketplace sellers (Shopify / Amazon / Etsy / eBay / WooCommerce) with return rates above 8% and revenue $200K-$10M/year. Especially valuable for apparel + footwear sellers where return rate often hits 20-30% and the listing fix is 80% of the solution.
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