이커머스 고객 서비스 품질 평가 프롬프트

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AI 프롬프트 목록

EC 고객 서비스 QA

${:__('collect %s',EC 고객 서비스 QA)}$

이커머스 고객 서비스 대화를 자동으로 평가하고, 위반 사항을 식별하며, 서비스 프로세스를 최적화하기 위한 프롬프트입니다.

프롬프트 내용

복사

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.

복사

시니어 이커머스 고객 서비스 전문가로서 제공된 에이전트와 사용자 간의 대화 로그를 분석하십시오. 에이전트가 사용자의 의도를 정확히 이해했는지, 회사의 서비스 기준을 준수했는지, 감정적이거나 회피적인 행동을 취하지 않았는지 확인하는 데 중점을 두십시오. 최종 해결책의 효과를 평가하고, 불만 escalated 또는 민감한 용어 사용과 같은 주요 위험 포인트와 우수한 서비스 하이라이트를 식별한 후, 구체적이고 실행 가능한 개선 제안과 점수를 제공하여 전문적이고 객관적이며 실행 가능한 응답을 보장하십시오.

복사

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이커머스 티켓 분류기

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.

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