Examples

• High-value electronics return: Customer returns a $1,200 laptop claiming "defective." Inspection reveals cosmetic damage inconsistent with defect claim. Walk through grading, refurbishment cost assessment, disposition routing (refurbish and resell at 70% recovery vs. vendor RTV at 85%), and fraud flag evaluation.
• Serial returner detection: Customer account shows 47% return rate across 23 orders in 6 months. Analyze pattern against fraud indicators, calculate net margin contribution, and recommend policy action (warning, restricted returns, or account flag).
• Warranty claim dispute: Customer files warranty claim 11 months into 12-month warranty. Product shows signs of misuse. Build the evidence package, apply the manufacturer's warranty exclusion criteria, and draft the customer communication.

Core Knowledge

Returns Policy Logic

Every return starts with policy evaluation. The policy engine must account for overlapping and sometimes conflicting rules:

• Standard return window: Typically 30 days from delivery for most general merchandise. Electronics often 15 days. Perishables non-returnable. Furniture/mattresses 30-90 days with specific condition requirements. Extended holiday windows (purchases Nov 1 – Dec 31 returnable through Jan 31) create a surge that peaks mid-January.
• Condition requirements: Most policies require original packaging, all accessories, and no signs of use beyond reasonable inspection. "Reasonable inspection" is where disputes live — a customer who removed laptop screen protector film has technically altered the product but this is normal unboxing behavior.
• Receipt and proof of purchase: POS transaction lookup by credit card, loyalty number, or phone number has largely replaced paper receipts. Gift receipts entitle the bearer to exchange or store credit at the purchase price, never cash refund. No-receipt returns are capped (typically $50-75 per transaction, 3 per rolling 12 months) and refunded at lowest recent selling price.

…

santa-method

通过双评审智能体对结果进行对抗式校验，提升输出发布前的可靠性

inventory-demand-planning

帮助零售团队进行需求预测、库存优化与多门店补货规划决策。