백서
단기 예측 정확도 향상
머신러닝을 통한 수요예측
About this paper
Effective supply chain management is critical to retailers and the consumer packaged goods (CPG) companies to have product at the right place, right quantity, and the right time. To make sure these products are available when customers need them, leading brands can implement a machine learning enhanced short-term (one to eight week) forecast to understand and predict changing consumer demand driven by sales, promotions, store-level point-of-sale data, store inventories, and open orders to better understand consumer demand patterns. This is called short-term demand sensing.
Learn how this new technique:
- Increases sales revenue.
- Streamlines deployment, transportation planning, and supply planning.
- Boosts customer service levels by having the right products available in store.
- Improves profit through enhanced replenishment efficiencies and fewer stock-outs on shelf.
About SAS
SAS는 분석 부문의 선두 기업입니다. SAS는 8만여 곳 이상의 기업에 혁신적인 분석, 비즈니스 인텔리전스(BI), 데이터 관리 소프트웨어와 서비스를 제공함으로써, 고객사가 신속하고 정확한 의사결정을 내릴 수 있도록 지원합니다. SAS는 1976년부터 전 세계 고객사에게 ‘THE POWER TO KNOW’에 입각한 서비스를 제공하고 있습니다. THE POWER TO KNOW®.