The Product Return Intelligence Engine

 Create a Product Return Intelligence Engine that analyzes order histories, return reasons, product attributes, delivery records, customer feedback, and refund outcomes to discover why products are being returned. Identify patterns by product variant, size, supplier, shipping method, sales channel, and customer-reported issue. Separate potentially preventable returns from legitimate preference changes or unavoidable circumstances. Estimate financial impact using configurable assumptions and recommend experiments such as clearer sizing guides, better product descriptions, packaging changes, or quality inspections. Include evidence-backed summaries and trend comparisons. Do not infer protected customer characteristics, mistake correlation for causation, or present estimated preventable returns as guaranteed savings.