电商客服对话质量自动评估提示词

首页

AI 提示词列表

电商客服质检

${:__('collect %s',电商客服质检)}$

针对电商客服场景，生成用于自动评估对话质量、识别违规及优化服务流程的AI提示词。

提示内容

复制

Act as a senior e-commerce customer service expert to analyze the provided conversation logs between agents and users. Focus on checking if the agent accurately understood the user's intent, adhered to company service standards, and avoided emotional or evasive behavior. Evaluate the effectiveness of the final solution. Identify key risk points (such as complaint escalation or sensitive word usage) and excellent service highlights, then provide specific improvement suggestions and a score to ensure the response is professional, objective, and actionable.

复制

请作为资深电商客户服务专家，分析提供的客服与用户对话记录。重点检查客服是否准确理解用户意图、是否遵循公司服务规范、是否存在情绪化或推诿行为，并评估最终解决方案的有效性。请识别对话中的关键风险点（如投诉升级、敏感词使用）和优秀服务亮点，最后给出具体的改进建议和评分，确保回复专业、客观且具备可操作性。

复制

分享点击复制链接

0/300

提交

推荐

电商客服工单分类

Act as an intelligent customer service system for an e-commerce platform. Receive the raw text of a user's inquiry, analyze its core intent and emotional tone, and automatically classify it into standard categories 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 ticket summary to facilitate quick intervention by human agents.

电商客服智能回复

Act as a senior e-commerce customer service expert. Based on the provided customer inquiry and product knowledge base, generate a professional, friendly, and accurate response. The reply must directly address the customer's specific questions regarding order status, return policies, or product specifications. Avoid mechanical template language, ensure the tone is natural and fluent while matching the brand voice, and strictly adhere to company compliance requirements without making unfulfillable promises.

电商客服工单分类

Analyze the provided customer support ticket text from an e-commerce platform and determine its primary intent. Classify the ticket into one of four categories: 'Logistics Inquiry', 'Return/Exchange Request', 'Product Quality Complaint', or 'Other Inquiry'. If multiple issues are present, prioritize the most urgent or the last mentioned issue. Output only the category label without any additional explanation.

电商客服工单分类

Analyze the following customer message received by e-commerce support, determine its business category based on semantics such as return/exchange inquiry, logistics query, product quality complaint, or account issue, and output the corresponding category label along with a brief handling suggestion, ensuring accurate classification that aligns with customer service standards.

电商客服工单分类

Analyze the following customer service message from an e-commerce platform and determine its business category. The possible categories are: Logistics Inquiry, Return/Exchange Request, Product Quality Complaint, Price Dispute, Account Issue, and Other. Output only the category name without any explanation. The customer message is: 'The package I received three days ago shows as delivered, but I have not received any physical item. The logistics information is stuck at the transit center. Please verify this and expedite a reshipment or refund.'

电商客服工单分类