AI 기반 이커머스 티켓 자동 분류 시스템

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AI 프롬프트 목록

이커머스 고객 지원 티켓 분류

${:__('collect %s',이커머스 고객 지원 티켓 분류)}$

자연어 처리 기술을 사용하여 이커머스 고객 지원팀이 받은 문의, 불만 및 제안 티켓을 의미론적으로 분석하고 의도를 식별하여 미리 정의된 비즈니스 카테고리로 자동 분류함으로써 고객 지원 팀의 처리 효율성과 응답 속도를 향상시킵니다.

프롬프트 내용

복사

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.

복사

다음 이커머스 고객 지원 티켓 내용을 분석하여 사용자가 설명한 구체적인 문제, 감정적 경향 및 핵심 요구 사항에 따라 물류 문의, 제품 품질 문제, 반품 또는 교환 신청, 가격 분쟁 등 미리 정의된 비즈니스 카테고리로 자동 분류하십시오. 또한 고객 지원 팀이 신속하게 대응하고 처리할 수 있도록 분류 결과와 간단한 이유 설명을 출력하십시오.

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이커머스 티켓 분류기

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.

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.