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利用AI自动识别并分类电商客户咨询工单,提升响应效率与服务质量。
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Analyze the provided customer inquiry text and categorize it into one of four predefined classes: pre-sales consultation, after-sales service, logistics inquiry, or complaint/suggestion based on business semantics. If an order number is mentioned, extract it; if emotional expression is present, label the sentiment as positive, neutral, or negative. The output must include the classification result, key entity extraction, and sentiment label, ensuring the logic aligns with standard e-commerce customer service protocols without additional explanatory reasoning.
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请分析提供的客户咨询文本,根据业务语义将其归类为售前咨询、售后服务、物流查询或投诉建议四大类别之一。若文本涉及具体订单号,请提取该号码;若涉及情绪表达,请标注情感倾向为正面、中性或负面。最终输出应包含分类结果、关键实体提取及情感标签,确保分类逻辑符合电商客服标准作业流程,无需额外解释推理过程。
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