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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。
複製
Analyze the following e-commerce support ticket content, identify its core issue type, including logistics delay, product damage, refund request, or inquiry, and route it to the logistics, quality inspection, or finance department based on preset rules. Extract key entities such as order number, product name, and user sentiment, and finally output a structured classification result and suggested handling plan to ensure accurate classification and compliance with business standards.
複製
請分析以下電商售後工單內容,識別其核心問題類型,包括物流延誤、商品破損、退款申請或諮詢疑問,並根據預設規則將其分類至物流部、質檢部或財務部,同時提取關鍵實體如訂單號、商品名稱及用戶情緒傾向,最終輸出結構化的分類結果與建議處理方案,確保分類準確且符合業務規範。
複製
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