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電商客服工單分類

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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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Act as an e-commerce support specialist to analyze the provided customer ticket text, identifying whether the core issue falls under logistics delay, product damage, return/exchange request, or price dispute. Extract key entities such as order ID, product name, and user sentiment, then output a structured classification result with suggested handling priority, ensuring accuracy and compliance with company service standards.

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請作為電商售後支持專家,分析以下用戶提交的工單文本,識別其核心訴求屬於物流延誤、商品破損、退換貨申請還是價格爭議中的哪一類,並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優先級,確保分類準確且符合公司售後服務規範。

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