ИИ-сортировка тикетов поддержки электронной коммерции

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Категоризация тикетов электронной коммерции

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Использование обработки естественного языка для анализа тикетов поддержки, автоматической идентификации типов проблем и маршрутизации в соответствующий отдел 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., delayed shipping, damaged goods, refund dispute, pre-sales inquiry) and categorize it into the corresponding handling department (Logistics, Quality Control, Finance, or Pre-sales) based on predefined rules. If the ticket contains multiple issues, prioritize the most urgent or impactful one, and output the classification result along with a brief rationale.

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Проанализируйте текст следующего тикета поддержки электронной коммерции, чтобы определить его основной тип проблемы (например, задержка доставки, повреждение товара, спор о возврате средств, предпродажный запрос) и классифицировать его в соответствующий отдел обработки (Логистика, Контроль качества, Финансы или Предпродажная группа) в соответствии с заранее определенными правилами. Если тикет содержит несколько проблем, приоритизируйте самую срочную или наиболее влияющую, и выведите результат классификации вместе с кратким обоснованием.

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