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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,提升響應效率與用戶滿意度。
複製
Analyze the following e-commerce support ticket text to identify the core issue type (such as logistics delay, product damage, refund dispute, or general inquiry), categorize it into the corresponding handling department based on predefined rules, extract key entities like order ID, product name, and user sentiment, and finally output a structured classification result with suggested handling solutions, ensuring accuracy and compliance with business standards.
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、退款爭議、諮詢解答等),並根據預設的分類規則將其歸類到相應的處理部門,同時提取關鍵實體信息如訂單號、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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