ИИ Классификация тикетов EC

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Классификация тикетов EC

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Используйте ИИ для автоматической идентификации и классификации заявок клиентов электронной коммерции, повышая эффективность и точность обработки.

Содержание промпта

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Please 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'. When making the judgment, focus on keywords such as tracking numbers, damaged goods, size mismatches, or shipping delays mentioned by the customer, ignoring emotional expressions, and directly output the most matching category label along with a brief rationale, ensuring the classification result aligns with common handling processes in actual business scenarios.

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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 'Другое'. При оценке сосредоточьтесь на ключевых словах, таких как номера отслеживания, поврежденные товары, несоответствие размеров или задержки отправки, упомянутые клиентом, игнорируйте эмоциональные выражения и непосредственно выводите наиболее соответствующую метку категории вместе с кратким обоснованием, убедившись, что результат классификации соответствует общим процессам обработки в реальных бизнес-сценариях.

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Рекомендация

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