이커머스 지원 티켓 자동 분류 시스템

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AI 프롬프트 목록

이커머스 티켓 분류기

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이커머스 플랫폼의 고객 지원 티켓을 자동으로 분류하여 응답 효율성과 서비스 품질을 향상시키는 AI 도구입니다.

프롬프트 내용

복사

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.

복사

이커머스 플랫폼의 지능형 고객 서비스 시스템으로 행동하십시오. 사용자의 문의 텍스트를 받고, 핵심 의도와 감정적 어조를 분석하여 사전 상담, 애프터 서비스, 물류 문의 또는 불만 등 표준 카테고리로 자동으로 분류하십시오. 주문 번호, 제품 이름, 문제 설명과 같은 주요 엔티티를 추출한 후, 인간 에이전트의 신속한 개입을 용이하게 하기 위해 구조화된 티켓 요약을 출력하십시오.

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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.'

이커머스 티켓 분류기