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Using NLP to analyze customer service tickets, identifying intent and automatically categorizing them into predefined business categories to improve response efficiency and accuracy for e-commerce support teams.
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Analyze the following e-commerce customer service ticket content, identify the user's core issue, emotional tone, and specific request, and automatically categorize it into predefined business categories such as logistics inquiry, product quality issue, return or exchange application, or price dispute. Output the classification result along with a brief explanation of the reasoning to facilitate quick response and handling by the customer service team.
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