opção
Lar Lista de Prompts de IA AI Classificação de tickets de comércio eletrônico

Classificação de tickets de comércio eletrônico

{:__('collect %s',Classificação de tickets de comércio eletrônico)}
AI
35

Utilizar o processamento de linguagem natural para analisar tickets de clientes de comércio eletrônico, identificar a intenção e automatizar a categorização e priorização para melhorar a eficiência de resposta e a qualidade do serviço.

Conteúdo do prompt Copiar Copiar

Analyze the provided e-commerce customer ticket text to identify its core intent, such as logistics inquiry, return or exchange request, product quality complaint, or price consultation. Categorize the ticket into the corresponding service department based on predefined business rules. Simultaneously, assess the urgency of the ticket; if it involves safety complaints or potential negative public opinion risks, mark it as high priority and recommend immediate human intervention. For routine inquiries, generate standardized response suggestions for customer service agents. The final output should include the classification label, urgency rating, and key information summary to ensure the customer service team can quickly understand customer needs and respond accurately.

Copiar Copiar

Analise o texto do ticket de cliente de comércio eletrônico fornecido para identificar sua intenção principal, como uma consulta logística, um pedido de devolução ou troca, uma reclamação sobre a qualidade do produto ou uma consulta de preços. Classifique o ticket no departamento de serviço correspondente com base nas regras comerciais predefinidas. Avalie simultaneamente a urgência do ticket; se envolver reclamações de segurança ou riscos potenciais de opinião pública negativa, marque-o como alta prioridade e recomende intervenção humana imediata. Para consultas rotineiras, gere sugestões de resposta padronizadas para os agentes de atendimento ao cliente. A saída final deve incluir o rótulo de classificação, o nível de urgência e um resumo das informações chave para garantir que a equipe de atendimento ao cliente possa compreender rapidamente as necessidades dos clientes e responder com precisão.

Copiar Copiar
Comentários (0)
0/300

Recomendação

Resposta Auto CS E-commerce
Act as a senior e-commerce customer service expert. Based on the provided product knowledge base and the customer's specific inquiry, generate a professional, friendly, and accurate response. The reply must directly address the customer's questions regarding product specifications, logistics status, or after-sales policies. Avoid mechanical template language, ensure the tone is natural and fluent while matching the brand voice, and strictly adhere to factual information without fabricating details.
Resposta Atendimento Cliente
Act as a senior e-commerce customer service expert. Generate a response for a customer complaining about a damaged item received during transit, who is upset and demanding a full refund plus compensation. Your reply must first sincerely apologize for the poor experience, then clearly state that you will immediately arrange a free replacement or full refund, and proactively cover the return shipping costs. Maintain a professional, gentle, yet firm tone, avoiding robotic phrases. Focus on resolving the practical issue quickly and rebuilding trust, ensuring the response is concise and aligns with brand service standards.
Classificação de Tickets EC
Analyze the following customer inquiry text from an e-commerce platform and determine its business category based on semantics, including return/exchange requests, logistics queries, product inquiries, or complaints/suggestions. Output only the classification label without explanation or additional notes to ensure accurate categorization for subsequent automated processing.
Classificação de Tickets EC
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.
Resposta Atendimento EC
Act as a senior e-commerce customer service expert. Based on the user's provided order number, product name, and current logistics status, generate a professional and empathetic reply. If logistics are stalled, proactively provide inquiry channels and apologize; if delivered, guide the user to confirm receipt and invite a review. The reply must be concise, avoid robotic clichés, ensure a warm tone that addresses actual pain points, and output only the final reply text.
Classificador de Tickets de E-commerce
Act as an intelligent customer service assistant for an e-commerce platform. Analyze the text of user-submitted inquiries to identify their core intent, such as return requests, logistics tracking, or product complaints. Classify each ticket into the appropriate department based on predefined business rules, and extract key entities like order numbers, product names, and specific issue descriptions to facilitate rapid follow-up by human agents.
OR