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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Organizations and citizens worldwide have seen the results of the global plastic crisis. In response, policymakers, society, and leading companies, such as SAP, are coming together to work on solutions — by avoiding single-use plastics, better managing and recycling the plastic waste stream, and creating what’s called a “circular economy.” SAP specifically is helping its customers redesign global value networks toward more circular business models through efforts such as the Circular Economy 2030 and SAP Leonardo Plastics challenges and a number of circular uses cases – around secondary materials marketplace, extended producer responsibility, waste insights, and citizen engagement – that are already at work across various industries. Learn about these and other ways that SAP customers can adopt more sustainable business practices, which could unlock $4.5 trillion in growth by turning waste into wealth.
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.