AI 기반 이커머스 고객 지원 자동 분류 시스템

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이커머스 고객 지원 티켓 분류

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

자연어 처리 기술을 활용하여 이커머스 고객 서비스 티켓을 분석하고 의도를 식별하여 애프터 세일스, 물류, 제품 문의 등의 구체적인 비즈니스 모듈로 자동 분류함으로써 고객 지원 응답 효율성과 정확도를 향상시킵니다.

프롬프트 내용

복사

Analyze the provided e-commerce customer consultation text to identify the core request and determine its business category. If the user mentions damaged, missing, or malfunctioning items, categorize it as an after-sales issue. If it involves delayed shipping, logistics updates, or lost packages, categorize it as a logistics issue. If it asks about product specifications, usage tutorials, or compatibility, categorize it as a product inquiry. Ignore emotional expressions and extract key facts for precise classification, outputting the corresponding standard business label.

복사

제공된 이커머스 고객 상담 텍스트를 분석하여 핵심 요구 사항을 식별하고 비즈니스 카테고리를 판단하십시오. 사용자가 손상된, 누락된 또는 고장난 상품을 언급하는 경우 애프터 세일스 문제로 분류하십시오. 발송 지연, 물류 정보 업데이트 또는 분실된 패키지와 관련된 경우 물류 문제로 분류하십시오. 제품 사양, 사용 설명서, 호환성에 대해 질문하는 경우 제품 문의로 분류하십시오. 감정적인 표현은 무시하고 중요한 사실만 추출하여 정확하게 분류한 후 해당 표준 비즈니스 라벨을 출력하십시오.

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이커머스 티켓 분류기

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이커머스 티켓 분류

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