EC 지원 티켓 자동 분류 시스템

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EC 티켓 분류기

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자연어 처리를 기반으로 전자 상거래 고객 지원 티켓을 자동으로 분류하는 AI 도구입니다.

프롬프트 내용

복사

Please analyze the following customer message received by an e-commerce support team and determine its business category. The categories include: Logistics Inquiry, Return/Exchange Request, Product Quality Complaint, Price Dispute, and General Consultation. Read the user's input carefully, extract key information such as order numbers, product names, and problem descriptions, and then classify the message into one of the five predefined categories based on established standards. If the message involves multiple issues, select the most urgent or core issue for classification. Finally, output the result in JSON format, including the original message, the predicted category, and a confidence score, ensuring the classification is accurate and meets actual business needs.

복사

다음 전자 상거래 지원 팀이 수신한 고객 메시지를 분석하고 비즈니스 카테고리를 결정하십시오. 카테고리에는 물류 문의, 반품/교환 요청, 제품 품질 불만, 가격 분쟁 및 일반 상담이 포함됩니다. 사용자의 입력을 주의 깊게 읽고 주문 번호, 제품 이름, 문제 설명 등의 핵심 정보를 추출한 후 확립된 기준에 따라 5개의 정의된 카테고리 중 하나로 메시지를 분류하십시오. 메시지에 여러 문제가 포함된 경우 가장 긴급하거나 핵심적인 문제를 선택하여 분류하십시오. 마지막으로 원본 메시지, 예측된 카테고리 및 신뢰도 점수를 포함하는 JSON 형식으로 결과를 출력하고 분류가 정확하며 실제 비즈니스 요구를 충족하는지 확인하십시오.

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