RecProof

RecProof is a web app (with optional lightweight SDK) that helps mid-market e-commerce teams validate and tune recommendation systems using rigorous, automated experimentation. Instead of shipping “recommended for you” widgets and hoping, RecProof runs holdout tests, uplift analysis, and segment-level reporting that ties recommendations to revenue, margin, and returns. It ingests events from Shopify/Magento/BigCommerce or a simple JavaScript tracker, then compares multiple recommenders (rules, collaborative filtering, embeddings, LLM re-rankers) against a baseline. It flags when a model is overfitting to popularity, cannibalizing higher-margin items, or increasing return rates. The honest reality: most stores don’t have data scientists, and incumbents are expensive and opaque. RecProof focuses on practical, explainable “what changed and why” outputs so product and marketing teams can act without ML expertise.