전자상거래용 정확한 상품 속성 태그 자동 생성 도구

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AI 프롬프트 목록

전자상거래 상품 태그 자동생성

${:__('collect %s',전자상거래 상품 태그 자동생성)}$

전자상거래 플랫폼 판매 상품에 플랫폼 검색 규칙에 맞는 핵심 판매 포인트와 속성을 커버하는 정확한 상품 태그를 자동 생성해 상품 검색 노출량과 전환율 향상을 돕습니다

프롬프트 내용

복사

Work through the basic product description, specification parameters and main image text uploaded by e-commerce sellers, sort out the core category, function selling points, applicable scenarios and key attributes of the product, generate accurate product tags that fit platform search habits, keep the number of tags between 8 and 12, use words that match common consumer search terms and avoid repetition and redundancy.

복사

전자상거래 판매자가 업로드한 상품 기본 설명, 규격 파라미터와 메인 이미지 텍스트 정보를 바탕으로 상품의 핵심 카테고리, 기능 판매 포인트, 적용 시나리오와 핵심 속성을 정리해 플랫폼 검색 습관에 맞는 정확한 상품 태그를 생성하고, 태그 개수는 8개에서 12개로 조절하며 소비자가 자주 사용하는 검색 용어에 맞는 표현을 쓰고 중복과 중복을 피하세요.

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이커머스 티켓 분류

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.

EC 고객 서비스 응답

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.

EC 고객 서비스 QA

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.

EC 고객 지원 티켓 분류

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.

계약 위험 검토

Act as a senior legal expert and carefully review the provided commercial service contract text, focusing on identifying vague expressions or unfavorable conditions in payment terms, liability for breach, intellectual property ownership, and dispute resolution mechanisms, and provide specific revision suggestions and legal basis for the identified risks.

고객 지원 티켓 분류

Analyze the following e-commerce after-sales ticket text to identify its problem category, including logistics issues, product quality issues, after-sales service attitude, or refund disputes. Extract key entities such as order numbers, product names, user requests, and sentiment tendencies. Finally, output a structured classification result and suggested handling priority to enable the customer service team to respond quickly.