크로스보더 전자상거래용 고전환 상품 제목 생성 도구

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AI 프롬프트 목록

전자상거래 상품 제목 생성기

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아마존 크로스보더 전자상거래 중소 판매자를 위해 상품 핵심 속성 기반으로 플랫폼 규칙에 맞고 검색량 높은 키워드를 포함한 상품 제목을 생성해 자연 검색 트래픽과 클릭률을 높입니다.

프롬프트 내용

복사

Based on the core product category, key functions, material, target users and unique selling points provided by small and medium Amazon sellers, create a product title that meets Amazon's search ranking rules, includes common consumer search keywords, and fits the platform's length requirement to improve the product's organic search ranking and user click-through rate.

복사

아마존 중소 판매자가 제공한 상품 핵심 카테고리, 핵심 기능, 소재, 대상 사용자, 차별화 판매 포인트를 바탕으로 아마존 검색 순위 규칙에 부합하고 소비자가 자주 검색하는 키워드를 포함하며 플랫폼 길이 요건에 맞는 상품 제목을 작성해 상품의 자연 검색 순위와 사용자 클릭률을 높입니다.

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이커머스 티켓 분류기

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.

EC 고객 서비스 QA

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.

이커머스 고객 응답

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.

이커머스 티켓 분류

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.

EC 고객 지원 티켓 분류

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.

이커머스 티켓 분류기

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.'