Автоматическая Классификация Тикетов ИИ

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Классификация Тикетов

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Использовать обработку естественного языка для анализа тикетов поддержки электронной коммерции, автоматически определять типы проблем и направлять их в соответствующие отделы, повышая эффективность ответа и удовлетворенность клиентов.

Содержание промпта

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Analyze the following e-commerce support ticket content, identify its core issue type, including logistics delay, product damage, refund request, or inquiry, and route it to the logistics, quality inspection, or finance department based on preset rules. Extract key entities such as order number, product name, and user sentiment, and finally output a structured classification result and suggested handling plan to ensure accurate classification and compliance with business standards.

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Проанализируйте содержание следующего тикета поддержки электронной коммерции, определите его основной тип проблемы, включая задержку логистики, повреждение товара, запрос на возврат средств или запрос информации, и направьте его в логистический, отдел контроля качества или финансовый отдел в соответствии с предустановленными правилами. Одновременно извлеките ключевые сущности, такие как номер заказа, название товара и эмоциональный тон пользователя, и в конечном итоге выведите структурированный результат классификации и предложенный план обработки, обеспечивая точность классификации и соответствие бизнес-стандартам.

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