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利用自然語言處理技術,對電商平台用戶提交的售後諮詢與投訴工單進行語義分析,自動識別問題類型並分配至對應處理部門,提升客服響應效率與用戶滿意度。
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Analyze the following e-commerce support ticket text to identify its core issue type (e.g., logistics delay, damaged goods, refund request, usage inquiry), determine urgency, and recommend the most suitable handling department or solution. Output only the JSON formatted classification result, including ticket ID, issue category, urgency level (high/medium/low), and suggested action, without additional explanation.
複製
請分析以下電商售後工單文本,識別其核心問題類型(如物流延誤、商品破損、退款申請、使用諮詢等),判斷緊急程度,並推薦最合適的處理部門或解決方案。請僅輸出JSON格式的分類結果,包含工單ID、問題類別、緊急等級(高/中/低)及建議處理動作,無需額外解釋。
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