Система автоматической классификации тикетов электронной коммерции на базе ИИ

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Классификация тикетов поддержки

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Использование технологий обработки естественного языка для автоматической идентификации и классификации запросов и жалоб пользователей, полученных службой поддержки электронной коммерции, что повышает эффективность ответа и качество обслуживания.

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Analyze the following customer message received by e-commerce support, determine its business category based on semantics such as return/exchange inquiry, logistics query, product quality complaint, or account issue, and output the corresponding category label along with a brief handling suggestion, ensuring accurate classification that aligns with customer service standards.

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Проанализируйте следующее сообщение пользователя, полученное службой поддержки электронной коммерции, определите его бизнес-категорию на основе семантики, такую как запрос на возврат или обмен, запрос о доставке, жалоба на качество продукта или проблема с учетной записью, и выведите соответствующую метку категории вместе с кратким предложением по обработке, обеспечивая точную классификацию, соответствующую стандартам обслуживания клиентов.

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