자동 이커머스 지원 티켓 분류

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이커머스 티켓 분류기

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자연어 처리 기술을 사용하여 이커머스 고객 서비스의 사용자 문의 및 불만을 자동으로 식별하고 분류하여 응답 효율성을 높입니다.

프롬프트 내용

복사

Analyze the following user message received by e-commerce customer service and determine its business category. The categories include: Logistics Inquiry, Return/Exchange Request, Product Quality Complaint, Price Dispute, Account Issue, and Others. Output only the classification result without explanation. For example, if the user says 'My package hasn't arrived after three days', classify it as Logistics Inquiry; if the user says 'The clothes shrank after washing', classify it as Product Quality Complaint. Accurately classify the input text.

복사

이커머스 고객 서비스에서 받은 다음 사용자 메시지를 분석하고 비즈니스 카테고리를 결정하십시오. 카테고리에는 물류 문의, 반품/교환 신청, 제품 품질 불만, 가격 분쟁, 계정 문제 및 기타가 포함됩니다. 설명 없이 분류 결과만 출력하십시오. 예를 들어, 사용자가 '3일이 지났는데도 소포가 도착하지 않았다'고 말하면 물류 문의로 분류하고, 사용자가 '세탁 후 옷이 줄었다'고 말하면 제품 품질 불만으로 분류하십시오. 입력 텍스트를 정확하게 분류하십시오.

복사

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이커머스 CS 응답

Act as a senior e-commerce customer service expert. Generate a response for a customer complaining about a damaged item received during transit, who is upset and demanding a full refund plus compensation. Your reply must first sincerely apologize for the poor experience, then clearly state that you will immediately arrange a free replacement or full refund, and proactively cover the return shipping costs. Maintain a professional, gentle, yet firm tone, avoiding robotic phrases. Focus on resolving the practical issue quickly and rebuilding trust, ensuring the response is concise and aligns with brand service standards.

EC 티켓 분류

Analyze the following customer inquiry text from an e-commerce platform and determine its business category based on semantics, including return/exchange requests, logistics queries, product inquiries, or complaints/suggestions. Output only the classification label without explanation or additional notes to ensure accurate categorization for subsequent automated processing.

EC 티켓 분류

Please analyze the following raw customer inquiry text submitted via e-commerce channels and classify it into one of four categories: 'Logistics Inquiry', 'Return/Exchange Request', 'Product Quality Complaint', or 'Other'. When making the judgment, focus on keywords such as tracking numbers, damaged goods, size mismatches, or shipping delays mentioned by the customer, ignoring emotional expressions, and directly output the most matching category label along with a brief rationale, ensuring the classification result aligns with common handling processes in actual business scenarios.

EC 고객 서비스 답변

Act as a senior e-commerce customer service expert. Based on the user's provided order number, product name, and current logistics status, generate a professional and empathetic reply. If logistics are stalled, proactively provide inquiry channels and apologize; if delivered, guide the user to confirm receipt and invite a review. The reply must be concise, avoid robotic clichés, ensure a warm tone that addresses actual pain points, and output only the final reply text.

이커머스 티켓 분류기

Act as an intelligent customer service assistant for an e-commerce platform. Analyze the text of user-submitted inquiries to identify their core intent, such as return requests, logistics tracking, or product complaints. Classify each ticket into the appropriate department based on predefined business rules, and extract key entities like order numbers, product names, and specific issue descriptions to facilitate rapid follow-up by human agents.

이커머스 티켓 분류기

Act as an intelligent customer service assistant for an e-commerce platform. Receive raw user consultation or complaint text, analyze its core intent, and categorize it into specific business categories such as logistics inquiry, product quality issue, return or exchange application, or price dispute. Extract key entities like order numbers, product names, and user sentiment. Finally, output the classification results and brief handling suggestions in a structured format, ensuring accuracy and compliance with customer service standards.