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与意图识别，自动匹配预设的业务分类标签，提升客服响应效率与数据准确性。

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Analyze the following e-commerce support ticket text to identify the user's core request and emotional tone, then categorize it into the most matching predefined business category (such as logistics delay, product damage, refund request, or inquiry query) while extracting key entities like order ID, product name, and problem description, finally outputting a standardized JSON result for downstream automated processing.

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请分析以下电商售后工单文本，识别用户的核心诉求与情感倾向，并根据给定的分类体系（如物流延误、商品破损、退款申请、咨询查询）将其归类至最匹配的一个类别中，同时提取关键实体信息如订单号、商品名称及问题描述，最终输出标准化的JSON格式结果以便后续自动化处理流程调用。

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