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집 AI 프롬프트 목록 전문 컨설턴트 스타트업 전자상거래 재고 최적화 컨설턴트

스타트업 전자상거래 재고 최적화 컨설턴트

{:__('collect %s',스타트업 전자상거래 재고 최적화 컨설턴트)}

재고 회전이 느리고 재고 부진 비율이 높은 신생 크로스보더 전자상거래를 위해 판매 데이터와 공급업체 납기를 기반으로 3개월 실행 가능한 최적화 계획을 수립하여 부진 재고 비율을 8% 이하로 유지합니다.

프롬프트 내용 복사 복사

Work with a startup cross-border e-commerce that has $300k to $500k monthly sales, currently faces 22% unsold SKUs and over 65 days of inventory turnover. Combine 6 months of platform sales data and 14 to 21 days average supplier lead time to sort existing inventory by risk level, adjust replenishment thresholds for different categories, outline phased actions to clear unsold stock, and deliver a directly implementable adjustment plan that cuts unsold stock to under 8% within 3 months.

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월 매출 30만 달러에서 50만 달러인 신생 크로스보더 전자상거래를 대상으로 현재 22%의 판매 부진 SKU와 65일을 초과하는 재고 회전일이라는 문제를 다룹니다. 최근 6개월 플랫폼 판매 데이터와 14일에서 21일인 평균 공급업체 납기를 결합해 기존 재고를 위험 수준별로 분류하고 카테고리별 보충 임계값을 조정하며 부진 재고 정리를 위한 단계별 조치를 정리하고 3개월 내에 부진 재고 비율을 8% 미만으로 낮추는 바로 실행 가능한 조정 계획을 제공합니다.

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