Автоматическая сортировка тикетов с помощью ИИ

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Классификация тикетов поддержки

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Используйте обработку естественного языка для анализа тикетов поддержки клиентов, автоматического определения типов проблем и маршрутизации в соответствующие отделы для повышения эффективности и удовлетворенности.

Содержание промпта

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Analyze the following e-commerce support ticket text to identify its core issue type (e.g., logistics delay, damaged goods, refund request, usage inquiry), determine urgency, and recommend the most suitable handling department or solution. Output only the JSON formatted classification result, including ticket ID, issue category, urgency level (high/medium/low), and suggested action, without additional explanation.

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Проанализируйте текст следующего тикета электронной коммерции, чтобы определить его основную проблему (например, задержка доставки, поврежденный товар, запрос на возврат, вопрос по использованию), определите срочность и порекомендуйте наиболее подходящий отдел или решение. Выводите только результат классификации в формате JSON, включающий ID тикета, категорию проблемы, уровень срочности (высокий/средний/низкий) и рекомендуемое действие, без дополнительных объяснений.

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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

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