AI辅助电商售后工单自动分类

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电商客服工单分类

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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（如物流延误、商品破损、退款争议等），并提取关键实体信息，为后续人工介入或自动化流程提供结构化数据支持，提升客服响应效率与用户满意度。

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Analyze the following e-commerce after-sales ticket text to identify its problem category, including logistics issues, product quality issues, after-sales service attitude, or refund disputes. Extract key entities such as order numbers, product names, user requests, and sentiment tendencies. Finally, output a structured classification result and suggested handling priority to enable the customer service team to respond quickly.

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请分析以下电商售后工单文本，识别其所属的问题类别，包括物流问题、商品质量问题、售后服务态度或退款纠纷等，并提取其中的关键实体如订单号、商品名称、用户诉求及情绪倾向，最后输出结构化的分类结果与建议处理优先级，以便客服团队快速响应。

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