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利用AI自動識別並分類電商客戶諮詢工單,提升處理效率與準確率。
複製
Please analyze the following raw customer inquiry text submitted via e-commerce channels and classify it into one of four categories: 'Logistics Inquiry', 'Return/Exchange Request', 'Product Quality Complaint', or 'Other'. When making the judgment, focus on keywords such as tracking numbers, damaged goods, size mismatches, or shipping delays mentioned by the customer, ignoring emotional expressions, and directly output the most matching category label along with a brief rationale, ensuring the classification result aligns with common handling processes in actual business scenarios.
複製
請分析以下電商客戶提交的原始諮詢文本,根據業務語義將其歸類為「物流查詢」、「退換貨申請」、「產品質量投訴」或「其他」四個類別之一。在判斷時,請重點關注客戶提到的關鍵詞如快遞單號、商品破損、尺寸不合或發貨延遲等具體細節,忽略情緒化表達,直接輸出最匹配的分類標籤及簡短的判断依據,確保分類結果符合實際業務場景中的常見處理流程。
複製
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