ReturnRatePredictor: Product Return Risk Scorer
ML-powered tool that predicts which products will have high return rates based on historical ecommerce data, helping sellers identify problematic SKUs before they tank profitability.
The Problem
Ecommerce sellers lose 15-30% of revenue to returns but have no visibility into which specific products are problematic until after the damage is done. They manually analyze return data in spreadsheets or ignore it entirely, missing patterns that could prevent losses.
Target Audience
Mid-market DTC ecommerce brands (Shopify stores with $500K-$10M ARR) selling physical products, particularly in fashion, electronics, and home goods where returns are endemic.
Why Now?
Shopify's recent improvements to their data APIs make this feasible in weeks; AI tools like Cursor can scaffold the ML pipeline and Lovable can handle the dashboard UI; post-inflation ecommerce margins are tighter so sellers are desperate to cut waste.
What's Missing
Existing return analytics tools (like Shopify Flow) only show retrospective stats—they don't predict which *future* orders will return or flag high-risk SKUs before launch. This requires a prediction layer that doesn't exist.
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