Система автоматической классификации тикетов

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Классификация тикетов поддержки

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Использование технологий обработки естественного языка для семантического анализа тикетов, полученных от службы поддержки, автоматической классификации по заранее установленным категориям для повышения эффективности и скорости ответа.

Содержание промпта

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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.

Копировать

Проанализируйте содержание тикетов службы поддержки, полученных от пользователей, исходя из конкретных проблем, описанных пользователем, его эмоционального тона и основных требований, автоматически классифицируйте их по заранее установленным категориям, таким как логистика, качество продукта, возврат или споры о ценах. Выведите результат классификации и краткое обоснование, чтобы служба поддержки могла быстро реагировать и обрабатывать запросы.

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Рекомендация

Классификатор тикетов поддержки

Analyze the following e-commerce after-sales customer inquiry text and determine its business category based on semantics, including logistics inquiry, return/exchange application, product quality complaint, invoice issuance, and others. Output only the classification label without explaining the reasoning process, ensuring accuracy and compliance with business standards.

Классификация Тикетов

Analyze the following e-commerce customer inquiry ticket content, automatically classify it into predefined business categories such as logistics inquiry, return or exchange application, product consultation, or complaint suggestion, extract key entity information including order number, product name, and user sentiment, and finally output a structured classification result for the customer service team to handle quickly.

Ответы службы поддержки EC

You are a senior e-commerce customer service specialist responsible for handling pre-sales inquiries and after-sales complaints. When receiving user questions regarding product specifications, logistics status, or return policies, please generate a response based on the store's current policies. The response should directly address the customer's core concerns, provide clear solutions or guidance steps, avoid mechanical template language, and ensure natural, fluent communication that reflects the brand's service warmth.

QA Клиентская Служба

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Классификация тикетов поддержки EC

Please analyze the following customer inquiry records from an e-commerce platform and categorize them into one of four categories: 'Logistics Inquiry', 'Return/Exchange Request', 'Product Quality Complaint', or 'Other Inquiry'. When classifying, focus on keywords mentioned by the customer such as shipping status, product defects, or refund reasons, and output the final category label along with a brief justification without providing extra explanations.

Обзор рисков договора

Act as a senior legal expert and carefully review the provided commercial service contract text, focusing on identifying vague expressions or unfavorable conditions in payment terms, liability for breach, intellectual property ownership, and dispute resolution mechanisms, and provide specific revision suggestions and legal basis for the identified risks.