首頁
電商商品標籤自動生成工具
AI
43
43
針對電商平台在售商品，基於商品標題和基礎介紹內容，自動生成符合平台規範、涵蓋品類、風格、適用族群的精準商品標籤，幫助提升商品搜索曝光率。
提示內容
複製
複製
Based on the product title and basic description provided by the e-commerce merchant, generate tags that meet the specifications of mainstream online retail platforms. The tags should cover the core product category, design style, target audience and core selling points, each tag is 1 to 3 words, generate 8 to 12 tags in total, and the wording should match common consumer search habits without made-up terms.
複製
你需要根據電商商家提供的商品標題和基礎介紹文字，生成符合國內主流電商平台規範的商品標籤，標籤要涵蓋商品核心品類、設計風格、目標適用族群和核心賣點，每個標籤控制在2到6個漢字，總共生成8到12個標籤，標籤用詞符合消費者日常搜索習慣，不要自造詞彙。
複製
評論 (0)
0/300
推薦
電商客服工單分類
Analyze the following e-commerce customer service ticket content, identify the user's core issue, emotional tone, and specific request, and automatically categorize it into predefined business categories such as logistics inquiry, product quality issue, return or exchange application, or price dispute. Output the classification result along with a brief explanation of the reasoning to facilitate quick response and handling by the customer service team.
電商客服工單分類
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.
電商客服工單分類
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.
電商客服智能回覆
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.
電商客服質檢
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.
電商客服工單分類
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.
