Automatically extract key issues from massive e-commerce support inquiries, classify them, and generate standardized handling suggestions to improve customer service efficiency and user satisfaction.
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Analyze the provided e-commerce support ticket data to identify core user issues such as delayed logistics, damaged goods, or functional failures, categorize them into predefined support categories, and generate concise handling suggestions and response scripts based on historical solutions, ensuring the content aligns with brand tone and is actionable, ultimately outputting a structured ticket summary report.
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