AI 기반 이커머스 지원 티켓 자동 라우팅

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AI 프롬프트 목록

이커머스 고객 지원 티켓 분류

${:__('collect %s',이커머스 고객 지원 티켓 분류)}$

자연어 처리 기술을 활용하여 고객 지원 티켓을 분석하고 의도를 식별하여 물류, 품질, 환불 부서로 자동 라우팅하여 이커머스 애프터 서비스의 응답 효율성과 처리 정확도를 향상시킵니다.

프롬프트 내용

복사

Analyze the following e-commerce support ticket text to identify the user's core request and emotional tone, then automatically categorize it into specific business modules such as logistics delay, product quality issue, return/refund application, or general inquiry, while extracting key entities like order ID, product name, and problem description for subsequent manual agent intervention.

복사

다음 이커머스 지원 티켓 텍스트를 분석하여 사용자의 핵심 요구사항과 감정적 어조를 식별한 후, 물류 지연, 제품 품질 문제, 반품/교환 신청 또는 일반 문의와 같은 구체적인 비즈니스 모듈로 자동 분류하고, 주문 ID, 제품 이름 및 문제 설명과 같은 주요 엔티티를 추출하여 후속 수동 에이전트의 신속한 개입 처리를 가능하게 하십시오.

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EC 고객 지원 티켓 분류

Please read the following customer service message submitted by the user, analyze its core request, and categorize it into one of the predefined ticket types: Logistics Inquiry, Return/Exchange Request, Product Quality Issue, Account Anomaly, or Other. Output only the classification label without explaining the reasoning process, ensuring accurate classification to assist subsequent manual handling.

EC 고객 서비스 QA

Act as a senior e-commerce customer service quality monitoring expert to analyze the provided customer-service dialogue records. Focus on checking if the customer service accurately understood the customer's needs, used standard polite language, effectively resolved complaints or inquiries, and avoided shirking responsibility or emotional responses. Identify key risk points in the dialogue, such as unfulfilled promises, incorrect information, or poor attitude, and provide specific improvement suggestions. The final output should include a dialogue quality score, a description of main issues, and an optimized reply example to ensure improved customer satisfaction and compliance.

EC 고객 서비스 답변

Act as a senior e-commerce customer service expert. Based on the provided order details and common after-sales issues, generate a professional, friendly, and efficient reply text. The reply must include confirmation of the order status, proactive answers to potential issues, and specific solution suggestions. Maintain a polite and empathetic tone, avoiding mechanical template language, ensuring the content is natural, fluent, and effectively resolves customer concerns.

EC 티켓 분류기

Act as a senior customer service manager for an e-commerce platform. Analyze the incoming customer inquiry text, determine its business category based on semantics such as logistics inquiry, return or exchange application, product consultation, or complaint suggestion, and output a standardized classification label along with brief handling suggestions, ensuring the classification results are accurate and comply with platform standards.

이커머스 티켓 분류기

Please analyze the following user inquiry text received by e-commerce customer service, determine its business category based on semantics, such as logistics inquiry, return and exchange application, product consultation, or complaint suggestion, and output the corresponding category label and confidence score for subsequent handling by corresponding specialists.

이커머스 티켓 분류

Analyze the following e-commerce support ticket text to identify its core issue type (e.g., logistics delay, damaged goods, refund request, usage inquiry), determine urgency, and recommend the most suitable handling department or solution. Output only the JSON formatted classification result, including ticket ID, issue category, urgency level (high/medium/low), and suggested action, without additional explanation.