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

Classificador de tickets de comércio eletrônico

{:__('collect %s',Classificador de tickets de comércio eletrônico)}
AI
1

Aproveite o processamento de linguagem natural para analisar tickets de clientes de comércio eletrônico, identificar a intenção e automatizar a classificação 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 return inquiries, logistics queries, or quality complaints, and categorize it into the corresponding processing queue based on predefined business rules, while assessing urgency to assist human agents in prioritizing high-urgency issues.

Copiar Copiar

Analise o texto do ticket de cliente de comércio eletrônico fornecido para identificar sua intenção principal, como consultas de devolução, consultas logísticas ou reclamações de qualidade, e classifique-o na fila de processamento correspondente com base em regras comerciais predefinidas, avaliando ao mesmo tempo a urgência para ajudar os agentes humanos a priorizar problemas de alta urgência.

Copiar Copiar
Comentários (0)
0/300

Recomendação

Classificação de Tickets E-commerce
Act as an intelligent customer service assistant for an e-commerce platform. Read the provided raw text of customer inquiries, analyze their core demands and emotional tone, and accurately classify them into one of the following categories: logistics inquiry, return or exchange application, product consultation, or complaint and suggestion. Extract key entities such as order numbers or product names, and finally generate a concise structured summary to facilitate quick follow-up by human customer service agents.
Categorização de tickets de e-commerce
Analyze the following e-commerce support ticket text to identify its core issue type (e.g., delayed shipping, damaged goods, refund dispute, pre-sales inquiry) and categorize it into the corresponding handling department (Logistics, Quality Control, Finance, or Pre-sales) based on predefined rules. If the ticket contains multiple issues, prioritize the most urgent or impactful one, and output the classification result along with a brief rationale.
Classificador de Tickets de E-commerce
Act as an intelligent customer service assistant for an e-commerce platform. Receive raw user inquiry text, analyze its core intent and sentiment, and categorize it into standard classes such as pre-sales consultation, after-sales service, logistics inquiry, or complaints. Extract key entities like order numbers, product names, and issue descriptions, then output a structured classification result with handling suggestions for quick human agent intervention.
Classificação de tickets de comércio eletrônico
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. Classify the ticket into the corresponding customer service queue based on predefined business rules. Simultaneously, assess the urgency of the ticket; if it involves safety complaints or significant public opinion risks, mark it as high priority and recommend immediate manual intervention. For routine inquiries, extract key entities (e.g., order number, product SKU, problem description) and generate a concise summary to help customer service agents quickly understand the context. The final output should include the classification label, priority level, list of key entities, and a summary of no more than 50 words, ensuring accuracy and facilitating subsequent processing.
Classificação de Tickets E-com
Act as part of an e-commerce customer service system. Analyze the incoming customer inquiry text and automatically categorize it into one of four categories: pre-sales consultation, after-sales service, logistics inquiry, or complaint/suggestion. Output the corresponding category label and confidence score to facilitate routing to the appropriate handling team.
Resposta Automática CS E-commerce
Act as a senior e-commerce customer service expert. Generate a professional, friendly, and efficient response based on the user's specific inquiry. The reply must accurately address the user's issue while maintaining brand tone consistency, avoiding mechanical template language, and ensuring the response is natural, fluent, and aligned with actual business scenarios.
OR