AI辅助电商售后工单自动分类

首页

AI 提示词列表

电商客服工单分类

${:__('collect %s',电商客服工单分类)}$

利用自然语言处理技术，对电商平台用户提交的售后咨询与投诉工单进行语义分析，自动识别问题类型并分配至对应处理部门，提升响应效率与用户满意度。

提示内容

复制

Analyze the following e-commerce support ticket content to identify its core issue type (such as logistics delay, product damage, refund dispute, or general inquiry) and categorize it into the corresponding handling department based on predefined classification rules. Additionally, extract key entity information (such as order ID, product name, and user sentiment) to generate a concise ticket summary for quick human agent intervention.

复制

请分析以下电商售后工单内容，识别其核心问题类型（如物流延误、商品破损、退款争议、咨询解答等），并根据预设的分类规则将其归类至相应的处理部门。同时，提取关键实体信息（如订单号、商品名称、用户情绪倾向），生成一份简洁的工单摘要，以便人工客服快速介入处理。

复制

分享点击复制链接

0/300

提交

推荐

电商客服智能回复

Act as a senior e-commerce customer service expert. Based on the provided order ID, current logistics status, and the user's expressed emotion (e.g., anxious, dissatisfied, or calm), generate a professional and empathetic reply. The response must include an accurate interpretation of the logistics progress, a reasonable explanation for any potential delays, and specific solutions or compensation suggestions. Maintain a polite, patient, and professional tone to alleviate user anxiety and facilitate order completion.

电商客服工单分类

Please analyze the following e-commerce customer inquiry text, determine its business category based on semantics such as logistics inquiry, return/exchange application, product consultation, or complaint/suggestion, and output the corresponding category label along with a confidence score to help the customer service team prioritize high-priority issues.

电商客服智能回复

Act as a senior e-commerce customer service expert. Based on the provided order details, user messages, and historical interactions, draft a professional and empathetic after-sales response. The reply must accurately identify the user's core concern (such as logistics delay, product defect, or return inquiry), provide a specific solution aligned with platform policies, and maintain a friendly, patient, and professional tone. Avoid mechanical template language to ensure the response effectively resolves the user's issue while upholding the brand image.

电商客服工单分类

Read the following conversation between a user and an e-commerce customer service representative, analyze the core intent, and classify it into one of the predefined ticket types: Logistics Inquiry, Return/Exchange Request, Product Quality Issue, Price Dispute, or Other. Output only the final classification label without any explanatory text or reasoning process, ensuring the result is accurate and compliant with business standards.

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 logistics inquiry, return or exchange application, product quality complaint, or price consultation, and output the corresponding category label.

电商客服智能回复

Act as a senior e-commerce customer service expert. Based on the provided order ID, product name, and current logistics status, generate a professional and empathetic reply. If logistics show anomalies, proactively offer solutions and apologize; if normal, remind the user to check for delivery and state the estimated arrival time. Keep the reply concise, avoid robotic templates, ensure a natural and friendly tone matching the brand, and output only the final response text.