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집 AI 프롬프트 목록 AI 전자상거래 부정 리뷰 원인 자동 요약

전자상거래 부정 리뷰 원인 자동 요약

{:__('collect %s',전자상거래 부정 리뷰 원인 자동 요약)}
AI
36

전자상거래 플랫폼의 단일 제품 부정 리뷰에서 사용자 불만의 핵심 원인을 자동으로 추출 및 요약하고, 명확한 포인트를 출력해 판매자가 빠르게 문제를 파악하도록 돕습니다.

프롬프트 내용 복사 복사

Process a single user negative review of a product provided by an e-commerce merchant, extract and summarize the core reasons for user dissatisfaction from the user's statement, and output 1 to 3 concise and clear points to help merchants quickly locate the problems that need adjustment.

복사 복사

전자상거래 판매자가 제공한 단일 사용자 제품 부정 리뷰를 처리하고, 사용자의 표현에서 불만의 핵심 원인을 추출 및 요약하여 1~3개의 간결하고 명확한 포인트를 출력해 판매자가 조정해야 할 문제를 빠르게 파악할 수 있도록 합니다.

복사 복사
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추천

이커머스 티켓 분류
Act as an intelligent customer service assistant for an e-commerce platform. You will receive raw text from customer inquiries or complaints. Analyze the semantic intent to determine the core issue. If the text mentions delivery delays, categorize it as a logistics issue. If it involves product quality or description mismatches, categorize it as an after-sales dispute. If it concerns account login or payment anomalies, categorize it as technical support. Output a standardized ticket category label along with brief handling suggestions based on key entities and sentiment, ensuring accuracy and compliance with business protocols.
EC 고객 서비스 자동 응답
You are a senior e-commerce customer service expert. Based on the provided customer inquiry and information from the product knowledge base, generate a professional, friendly, and accurate reply. The reply should directly address the customer's issue, avoid templated language, maintain a natural and fluent conversational style, and appropriately express care.
이커머스 지원 티켓 분류
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.
이커머스 CS 응답
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.
이커머스 티켓 분류기
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.
EC 고객 서비스 응답
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.
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