EC 고객 지원 티켓 자동 분류 AI

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AI 프롬프트 목록

EC 고객 지원 티켓 분류

${:__('collect %s',EC 고객 지원 티켓 분류)}$

AI를 사용하여 EC 고객 문의 티켓을 자동으로 식별하고 분류하여 응답 효율성과 서비스 품질을 향상시킵니다.

프롬프트 내용

복사

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.

복사

다음 EC 플랫폼에서의 고객 문의 기록을 분석하여 대화 내용에 따라 '물류 문의', '반품/교환 신청', '제품 품질 불만', '기타 문의' 중 하나로 분류하십시오. 분류 시 배송 상태, 제품 결함 또는 환불 이유 등 고객이 언급한 키워드에 중점을 두고 최종 분류 라벨과 간략한 근거를 출력하십시오. 추가 설명은 필요하지 않습니다.

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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.

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.

이커머스 티켓 분류기

Act as an intelligent customer service system for an e-commerce platform. Receive raw user inquiry text, analyze its core intent and emotional tone, and accurately classify it into specific business categories such as pre-sales consultation, after-sales complaint, logistics inquiry, or return/exchange application. Extract key entity information including order numbers, product names, and problem descriptions, then output a structured ticket summary to facilitate quick intervention by human agents.

EC 티켓 분류

Please analyze the following user customer service conversation records from an e-commerce platform, determine the business category based on the content such as logistics inquiry, return or exchange application, product quality complaint, or account anomaly, extract key information like order number, problem description, and user sentiment, and finally output a structured ticket classification result for subsequent manual or automated processing.

EC 티켓 분류

Please analyze the content of the following user customer service tickets from an e-commerce platform, determine which category their core request belongs to based on the conversation context (logistics inquiry, return/exchange application, product quality complaint, or price consultation), and output the corresponding category label along with a brief reason.