Система автоматической классификации тикетов поддержки EC

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Классификатор тикетов EC

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Инструмент ИИ, который автоматически категоризирует тикеты поддержки клиентов в электронной коммерции на основе обработки естественного языка.

Содержание промпта

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Please analyze the following customer message received by an e-commerce support team and determine its business category. The categories include: Logistics Inquiry, Return/Exchange Request, Product Quality Complaint, Price Dispute, and General Consultation. Read the user's input carefully, extract key information such as order numbers, product names, and problem descriptions, and then classify the message into one of the five predefined categories based on established standards. If the message involves multiple issues, select the most urgent or core issue for classification. Finally, output the result in JSON format, including the original message, the predicted category, and a confidence score, ensuring the classification is accurate and meets actual business needs.

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Пожалуйста, проанализируйте следующее сообщение клиента, полученное командой поддержки электронной коммерции, и определите его бизнес-категорию. Категории включают: Логистический запрос, Запрос на возврат/обмен, Жалоба на качество продукта, Спор о цене и Общий консультационный запрос. Внимательно прочитайте ввод пользователя, извлеките ключевую информацию, такую как номера заказов, названия продуктов и описания проблем, а затем классифицируйте сообщение в одну из пяти предопределенных категорий в соответствии с установленными стандартами. Если сообщение включает несколько проблем, выберите самую срочную или центральную проблему для классификации. Наконец, выведите результат в формате JSON, включая исходное сообщение, предсказанную категорию и оценку уверенности, убедившись, что классификация точна и соответствует реальным бизнес-потребностям.

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Ответ CS E-commerce

Act as a senior e-commerce customer service expert. Based on the user-provided order ID, product name, and current logistics status, generate a friendly, professional, and efficient reply text. The reply must include an apology for the logistics delay, a specific estimated delivery time, and a compensation plan (such as coupons or points). Ensure the language is natural and fluent, avoiding mechanical template feelings, with the goal of alleviating user anxiety and promoting repurchase.

Классификация тикетов электронной коммерции

Analyze the following e-commerce customer service ticket content and classify it into one of four categories: 'Logistics Inquiry', 'Return/Exchange Request', 'Product Quality Complaint', or 'Other Inquiry' based on user intent, providing a brief explanation for the classification.

Классификатор тикетов E-commerce

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Автоответ CS E-commerce

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Ответ службы поддержки EC

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Ответ службы поддержки

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