Автоматическая классификация тикетов

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Классификатор тикетов E-commerce

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Автоматически идентифицируйте и классифицируйте тикеты запросов клиентов электронной коммерции с помощью обработки естественного языка для повышения эффективности и точности.

Содержание промпта

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Analyze the following raw customer inquiry text submitted via e-commerce channels and classify it into one of four categories: 'Logistics Inquiry', 'Return/Exchange Request', 'Product Quality Complaint', or 'Other Inquiry'. If the text does not clearly indicate a specific business scenario, assign it to 'Other Inquiry'. Output only the category label name without explaining the reasoning process or providing additional suggestions.

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Проанализируйте следующий исходный текст запроса клиента, отправленный через каналы электронной коммерции, и классифицируйте его в одну из четырех категорий: 'Логистический запрос', 'Запрос на возврат/обмен', 'Жалоба на качество продукта' или 'Другой запрос'. Если текст не указывает на конкретный бизнес-сценарий, присвойте ему категорию 'Другой запрос'. Выводите только название метки категории, не объясняя процесс рассуждения и не предоставляя дополнительных рекомендаций.

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Рекомендация

Классификатор тикетов электронной коммерции

Act as an intelligent customer service assistant for an e-commerce platform. Receive the raw text of a user's inquiry, analyze its core intent and sentiment, and categorize it into specific business scenarios such as pre-sales consultation, after-sales complaint, logistics inquiry, or return/exchange application. Extract key entities like order numbers, product names, and problem descriptions, then output a structured ticket summary to facilitate quick handling by human agents.

Классификация тикетов поддержки электронной коммерции

Analyze the following e-commerce support ticket text to identify the user's core request and emotional tone, then automatically categorize it into specific business modules such as logistics delay, product quality issue, return/refund application, or general inquiry, while extracting key entities like order ID, product name, and problem description for subsequent manual agent intervention.

Классификация Тикетов

Please read the following customer service message submitted by the user, analyze its core request, and categorize it into one of the predefined ticket types: Logistics Inquiry, Return/Exchange Request, Product Quality Issue, Account Anomaly, or Other. Output only the classification label without explaining the reasoning process, ensuring accurate classification to assist subsequent manual handling.

QA службы поддержки EC

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Act as a senior e-commerce customer service expert. Based on the provided order details and common after-sales issues, generate a professional, friendly, and efficient reply text. The reply must include confirmation of the order status, proactive answers to potential issues, and specific solution suggestions. Maintain a polite and empathetic tone, avoiding mechanical template language, ensuring the content is natural, fluent, and effectively resolves customer concerns.

Классификатор тикетов EC

Act as a senior customer service manager for an e-commerce platform. Analyze the incoming customer inquiry text, determine its business category based on semantics such as logistics inquiry, return or exchange application, product consultation, or complaint suggestion, and output a standardized classification label along with brief handling suggestions, ensuring the classification results are accurate and comply with platform standards.