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利用AI自動識別並分類電商客戶諮詢工單,提升響應效率與服務質量。
複製
Analyze the following raw customer inquiry text from an e-commerce platform and categorize it into one of four categories: 'Logistics Inquiry', 'Return/Exchange Request', 'Product Quality Complaint', or 'Other Inquiry'. If the text involves multiple intents, prioritize the most urgent or core issue and briefly explain the reasoning. For instance, if a user mentions 'the shirt size is wrong and I want to exchange it', categorize it as 'Return/Exchange Request'. Output only the category and a short rationale without any conversational filler or explanatory prefixes.
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‘其他諮詢’四類之一。若文本涉及多個意圖,請優先處理最緊急或最核心的問題,並簡要說明分類依據。例如,若用戶提到‘衣服尺碼不對想換’,應歸類為‘退換貨申請’。請僅輸出分類結果及簡短理由,無需額外寒暄或解釋性前綴。
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