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Lar Lista de Prompts de IA AI Classificação de Tickets EC

Classificação de Tickets EC

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AI
5

Identifique e classifique automaticamente os tickets de consultas e reclamações do serviço de atendimento ao cliente de comércio eletrônico usando tecnologias de processamento de linguagem natural para melhorar a eficiência da resposta.

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Please analyze the following user customer service conversation records from an e-commerce platform, determine the business category based on the content such as logistics inquiry, return or exchange application, product quality complaint, or account anomaly, extract key information like order number, problem description, and user sentiment, and finally output a structured ticket classification result for subsequent manual or automated processing.

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Por favor, analise os seguintes registros de conversa do serviço ao cliente de usuários da plataforma de comércio eletrônico, determine a categoria comercial com base no conteúdo como consulta logística, solicitação de devolução ou troca, reclamação de qualidade do produto ou anomalia de conta, extraia informações-chave como número do pedido, descrição do problema e tendência do humor do usuário e finalmente emita um resultado de classificação de tickets estruturado para o processamento manual ou automatizado posterior.

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Recomendação

Classificação de Tickets EC
Please analyze the content of the following user customer service tickets from an e-commerce platform, determine which category their core request belongs to based on the conversation context (logistics inquiry, return/exchange application, product quality complaint, or price consultation), and output the corresponding category label along with a brief reason.
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Please analyze the following e-commerce customer inquiry ticket content, automatically categorize it into one of the four categories: 'Logistics Inquiry', 'Return/Exchange Application', 'Product Quality Complaint', or 'Other Inquiry' based on business semantics, and briefly explain the basis for classification, ensuring that the classification results conform to actual business scenarios and are logically clear.
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Resposta Cliente E-com
Act as a senior e-commerce customer service expert. Based on the provided product knowledge base and the customer's inquiry, generate a professional, friendly, and accurate response. The reply should directly address the customer's issue, avoid robotic clichés, ensure a natural and fluent tone consistent with the brand voice, and include necessary after-sales guidance.
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