AI輔助電商售後工單自動分類

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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與意圖識別，自動歸類至物流、質量或退款等具體業務模塊，以提升客服響應效率與處理準確率。

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Analyze the following e-commerce customer support ticket text to identify the core issue and determine its business category. The content involves common scenarios such as damaged goods, delayed shipping, or refund requests. Extract key entities like order numbers, product names, and problem descriptions. Map the ticket to the most appropriate category based on predefined standards including logistics issues, product quality, after-sales service, and others. If the user expresses strong emotions or uses sensitive language, flag it as high priority. The final output should include the classification result, confidence score, and brief handling suggestions, ensuring clear logic that aligns with actual business operations to help the customer service team quickly triage and prioritize urgent cases.

複製

請分析以下電商用戶提交的售後工單文本，識別其核心訴求並判斷所屬業務類別。工單內容涉及商品破損、物流延誤或退款申請等常見場景。你需要提取關鍵實體如訂單號、商品名稱及問題描述，根據預設的分類標準（包括物流問題、產品質量、售後服務、其他）將工單映射至最匹配的類別。若用戶情緒激動或包含敏感詞彙，需標記為高優先級。最終輸出應包含分類結果、置信度評分及簡要的處理建議，確保分類邏輯清晰且符合實際業務操作規範，幫助客服團隊快速分流並優先處理緊急案件。

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