Triagem automática de tickets com IA

Lar

Lista de Prompts de IA

Classificação de tickets de suporte

${:__('collect %s',Classificação de tickets de suporte)}$

Aproveite o processamento de linguagem natural para analisar tickets de suporte, identificar automaticamente tipos de problemas e roteá-los para departamentos apropriados, melhorando a eficiência e satisfação.

Conteúdo do prompt

Copiar

Analyze the following e-commerce support ticket text to identify its core issue type (e.g., logistics delay, damaged goods, refund request, usage inquiry), determine urgency, and recommend the most suitable handling department or solution. Output only the JSON formatted classification result, including ticket ID, issue category, urgency level (high/medium/low), and suggested action, without additional explanation.

Copiar

Analise o seguinte texto de ticket de suporte de comércio eletrônico para identificar seu tipo de problema central (por exemplo, atraso logístico, artigo danificado, solicitação de reembolso, consulta de uso), determine a urgência e recomende o departamento ou solução mais adequada. Gere apenas o resultado da classificação em formato JSON, incluindo o ID do ticket, a categoria do problema, o nível de urgência (alto/médio/baixo) e a ação recomendada, sem explicações adicionais.

Copiar

Compartilhar Clique para copiar o link

Comentários (0)

0/300

Enviar

Recomendação

Classificação de tickets de suporte de e-commerce

Analyze the following e-commerce support ticket text to identify the user's core request and emotional tone, then automatically categorize it into specific business modules such as logistics delay, product quality issue, return/refund application, or general inquiry, while extracting key entities like order ID, product name, and problem description for subsequent manual agent intervention.

Classificação de Tickets EC

Please read the following customer service message submitted by the user, analyze its core request, and categorize it into one of the predefined ticket types: Logistics Inquiry, Return/Exchange Request, Product Quality Issue, Account Anomaly, or Other. Output only the classification label without explaining the reasoning process, ensuring accurate classification to assist subsequent manual handling.

QA Atendimento ao Cliente EC

Act as a senior e-commerce customer service quality monitoring expert to analyze the provided customer-service dialogue records. Focus on checking if the customer service accurately understood the customer's needs, used standard polite language, effectively resolved complaints or inquiries, and avoided shirking responsibility or emotional responses. Identify key risk points in the dialogue, such as unfulfilled promises, incorrect information, or poor attitude, and provide specific improvement suggestions. The final output should include a dialogue quality score, a description of main issues, and an optimized reply example to ensure improved customer satisfaction and compliance.

Resposta Atendimento EC

Act as a senior e-commerce customer service expert. Based on the provided order details and common after-sales issues, generate a professional, friendly, and efficient reply text. The reply must include confirmation of the order status, proactive answers to potential issues, and specific solution suggestions. Maintain a polite and empathetic tone, avoiding mechanical template language, ensuring the content is natural, fluent, and effectively resolves customer concerns.

Classificador de tickets EC

Act as a senior customer service manager for an e-commerce platform. Analyze the incoming customer inquiry text, determine its business category based on semantics such as logistics inquiry, return or exchange application, product consultation, or complaint suggestion, and output a standardized classification label along with brief handling suggestions, ensuring the classification results are accurate and comply with platform standards.

Classificador de tickets de comércio eletrônico

Please analyze the following user inquiry text received by e-commerce customer service, determine its business category based on semantics, such as logistics inquiry, return and exchange application, product consultation, or complaint suggestion, and output the corresponding category label and confidence score for subsequent handling by corresponding specialists.