Demand Sensing Improves Short-Term Demand Forecasting at Arla Foods

Demand Sensing Improves Short-Term Demand Forecasting at Arla Foods

Demand planners can leverage SAP Integrated Business Planning demand sensing to achieve high forecast accuracy

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Discover how SAP customers can improve short-term forecast and delivery accuracy using SAP Integrated Business Planning demand sensing, which uses machine learning and pattern recognition to match and balance forecasts to patterns in demand with inputs from historical and future sales orders, historical shipments, promotions, weather forecasts, and social media sentiment. With this functionality, companies can achieve higher order fulfillment rates and reduced inventory costs with more inventory turns. Learn how the Arla Foods, the world’s fourth largest dairy company, deployed the demand sensing functionality of SAP Integrated Business Planning and improved its forecast accuracy by 5.5% in Denmark and 2.4% in the UK.

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