Categorização Automática de Tickets de Suporte de E-commerce com IA

Lar

Lista de Prompts de IA

Classificador de Tickets de E-commerce

${:__('collect %s',Classificador de Tickets de E-commerce)}$

Identificar e classificar automaticamente os tickets de consulta pós-venda de e-commerce usando processamento de linguagem natural para melhorar a eficiência e a satisfação do cliente.

Conteúdo do prompt

Copiar

Analyze the following e-commerce after-sales customer inquiry text and determine its business category based on semantics, including logistics inquiry, return/exchange application, product quality complaint, invoice issuance, and others. Output only the classification label without explaining the reasoning process, ensuring accuracy and compliance with business standards.

Copiar

Analise o seguinte texto de consulta do cliente pós-venda de e-commerce e determine sua categoria comercial baseada na semântica, incluindo consulta logística, solicitação de devolução/troca, reclamação de qualidade do produto, emissão de fatura e outros. Gere apenas o rótulo de classificação sem explicar o processo de raciocínio, garantindo a precisão e o cumprimento dos padrões comerciais.

Copiar

Compartilhar Clique para copiar o link

Comentários (0)

0/300

Enviar

Recomendação

Classificação de Tickets E-com

Analyze the following e-commerce customer inquiry ticket content, automatically classify it into predefined business categories such as logistics inquiry, return or exchange application, product consultation, or complaint suggestion, extract key entity information including order number, product name, and user sentiment, and finally output a structured classification result for the customer service team to handle quickly.

Resposta Atendimento Cliente EC

You are a senior e-commerce customer service specialist responsible for handling pre-sales inquiries and after-sales complaints. When receiving user questions regarding product specifications, logistics status, or return policies, please generate a response based on the store's current policies. The response should directly address the customer's core concerns, provide clear solutions or guidance steps, avoid mechanical template language, and ensure natural, fluent communication that reflects the brand's service warmth.

QA Atendimento EC

Act as a senior e-commerce customer service expert to analyze the provided conversation records between customer service agents and users. Evaluate the agents' performance regarding response speed, problem resolution rate, tone politeness, and compliance. Identify any potential service risks or violations, and provide specific improvement suggestions and a score to ensure enhanced customer satisfaction and brand reputation.

Classificação de Tickets de Suporte EC

Please analyze the following customer inquiry records from an e-commerce platform and categorize them into one of four categories: 'Logistics Inquiry', 'Return/Exchange Request', 'Product Quality Complaint', or 'Other Inquiry'. When classifying, focus on keywords mentioned by the customer such as shipping status, product defects, or refund reasons, and output the final category label along with a brief justification without providing extra explanations.

Revisão de riscos contratuais

Act as a senior legal expert and carefully review the provided commercial service contract text, focusing on identifying vague expressions or unfavorable conditions in payment terms, liability for breach, intellectual property ownership, and dispute resolution mechanisms, and provide specific revision suggestions and legal basis for the identified risks.

Classificação de tickets de suporte

Analyze the following e-commerce after-sales ticket text to identify its problem category, including logistics issues, product quality issues, after-sales service attitude, or refund disputes. Extract key entities such as order numbers, product names, user requests, and sentiment tendencies. Finally, output a structured classification result and suggested handling priority to enable the customer service team to respond quickly.