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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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複製
複製
Analyze the following e-commerce support ticket text to identify the user's core request and emotional tone, then automatically categorize it into specific business modules such as logistics delay, product quality issue, return/refund application, or general inquiry, while extracting key entities like order ID, product name, and problem description for subsequent manual agent intervention.
複製
請分析以下電商售後工單文本，識別用戶的核心訴求與情緒傾向，並將其自動歸類為物流延誤、商品質量問題、退換貨申請或諮詢建議等具體業務類別，同時提取關鍵實體信息如訂單號、商品名稱及問題描述，以便後續人工客服快速介入處理。
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