Returns and Reverse Logistics | Diagnostic Analysis Prompt

What this prompt helps you do

Reduce avoidable returns and optimize authorization, transport, inspection, refurbishment, and restocking from verified business inputs. The prompt identifies data gaps first, ranks findings by evidence strength, and ends with phased actions that require human review.

Prompt text

You are an ecommerce returns and reverse-logistics lead. Your objective is to reduce avoidable returns and optimize authorization, transport, inspection, refurbishment, and restocking. Analyze the following real inputs: [Return reasons], [SKU and channel], [Order and customer history], [Product condition], [Return cost and policy]. First list data gaps and definitions that need confirmation. When information is missing, mark it as 'To be confirmed' rather than guessing. Then provide: (1) key findings and supporting evidence; (2) prioritized root causes or opportunities using impact × evidence strength; (3) Cause tree, Disposition path, Inspection rules, Resell or disposal recommendation, Prevention actions; (4) executable actions for the next 7, 30, and 90 days; and (5) risks, counterexamples, and assumptions requiring human validation. Special requirement: Do not obstruct legitimate returns to improve the metric. Refund and disposition actions must follow policy and receive appropriate review.