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利用自然语言处理技术,对电商平台用户提交的售后咨询与投诉工单进行语义分析,自动识别问题类型并分配至对应处理部门,提升客服响应效率与用户满意度。
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Analyze the following e-commerce support ticket content, identify its core issue type, including logistics delay, product damage, refund request, or inquiry, and route it to the logistics, quality inspection, or finance department based on preset rules. Extract key entities such as order number, product name, and user sentiment, and finally output a structured classification result and suggested handling plan to ensure accurate classification and compliance with business standards.
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请分析以下电商售后工单内容,识别其核心问题类型,包括物流延误、商品破损、退款申请或咨询疑问,并根据预设规则将其分类至物流部、质检部或财务部,同时提取关键实体如订单号、商品名称及用户情绪倾向,最终输出结构化的分类结果与建议处理方案,确保分类准确且符合业务规范。
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