AI 기반 이커머스 고객 지원 티켓 라우팅

집

AI 프롬프트 목록

이커머스 지원 티켓 분류

${:__('collect %s',이커머스 지원 티켓 분류)}$

자연어 처리 기술을 사용하여 고객 지원 티켓을 분석하고, 문제 유형에 따라 자동으로 분류하여 해당 부서로 라우팅하여 응답 효율성과 고객 만족도를 향상시킵니다.

프롬프트 내용

복사

Analyze the following e-commerce support ticket content to identify its core issue type (such as logistics delay, product damage, refund dispute, or general inquiry) and categorize it into the corresponding handling department based on predefined classification rules. Additionally, extract key entity information (such as order ID, product name, and user sentiment) to generate a concise ticket summary for quick human agent intervention.

복사

다음 이커머스 지원 티켓 내용을 분석하여 물류 지연, 제품 손상, 환불 분쟁 또는 일반 문의와 같은 핵심 문제 유형을 식별하고 미리 정의된 분류 규칙에 따라 해당 처리 부서에 분류하십시오. 또한 주문 ID, 제품 이름 및 사용자 감정과 같은 주요 엔티티 정보를 추출하여 인간 에이전트의 신속한 개입을 가능하게 하는 간결한 티켓 요약을 생성하십시오.

복사

공유 링크를 복사하려면 클릭

의견 (0)

0/300

제출하다

추천

이커머스 CS 응답

Act as a senior e-commerce customer service expert. Based on the provided order ID, current logistics status, and the user's expressed emotion (e.g., anxious, dissatisfied, or calm), generate a professional and empathetic reply. The response must include an accurate interpretation of the logistics progress, a reasonable explanation for any potential delays, and specific solutions or compensation suggestions. Maintain a polite, patient, and professional tone to alleviate user anxiety and facilitate order completion.

이커머스 티켓 분류기

Please analyze the following e-commerce customer inquiry text, determine its business category based on semantics such as logistics inquiry, return/exchange application, product consultation, or complaint/suggestion, and output the corresponding category label along with a confidence score to help the customer service team prioritize high-priority issues.

EC 고객 서비스 응답

Act as a senior e-commerce customer service expert. Based on the provided order details, user messages, and historical interactions, draft a professional and empathetic after-sales response. The reply must accurately identify the user's core concern (such as logistics delay, product defect, or return inquiry), provide a specific solution aligned with platform policies, and maintain a friendly, patient, and professional tone. Avoid mechanical template language to ensure the response effectively resolves the user's issue while upholding the brand image.

전자상거래 티켓 분류

Read the following conversation between a user and an e-commerce customer service representative, analyze the core intent, and classify it into one of the predefined ticket types: Logistics Inquiry, Return/Exchange Request, Product Quality Issue, Price Dispute, or Other. Output only the final classification label without any explanatory text or reasoning process, ensuring the result is accurate and compliant with business standards.

이커머스 티켓 분류기

Analyze the following customer message received by e-commerce support, determine its business category based on semantics, such as logistics inquiry, return or exchange application, product quality complaint, or price consultation, and output the corresponding category label.

이커머스 CS 답변

Act as a senior e-commerce customer service expert. Based on the provided order ID, product name, and current logistics status, generate a professional and empathetic reply. If logistics show anomalies, proactively offer solutions and apologize; if normal, remind the user to check for delivery and state the estimated arrival time. Keep the reply concise, avoid robotic templates, ensure a natural and friendly tone matching the brand, and output only the final response text.