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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 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.
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请分析以下电商售后工单文本,识别其核心问题类型(如物流延迟、商品破损、退款争议、咨询未发货等),并根据预设的分类规则将其归类到对应的处理部门(物流部、质检部、财务部或售前咨询组)。若工单包含多个问题,请优先处理最紧急或影响最大的问题,并输出分类结果及简要理由。
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