2
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 text to identify its core issue type (e.g., delayed shipping, damaged goods, refund dispute, pre-sales inquiry) and categorize it into the corresponding handling department (Logistics, Quality Control, Finance, or Pre-sales) based on predefined rules. If the ticket contains multiple issues, prioritize the most urgent or impactful one, and output the classification result along with a brief rationale.
複製
請分析以下電商售後工單文本,識別其核心問題類型(如物流延遲、商品破損、退款爭議、諮詢未發貨等),並根據預設的分類規則將其歸類到對應的處理部門(物流部、質檢部、財務部或售前諮詢組)。若工單包含多個問題,請優先處理最緊急或影響最大的問題,並輸出分類結果及簡要理由。
複製
推薦





首頁
