Make precise demand forecasts both at the macro level and all the way down to individual geography, markets, and customer segments.
Know what volumes to expect to improve planning
Successful business planning depends on knowing how much demand will exist for products and services. From product design to production to logistics to sales, the more insight into expected demand, the better prepared your organization will be. In contrast, inadequate forecasts mean the risk of over- or underproduction, operational inefficiencies, or simply selling the wrong thing.
Overcoming the computational demands of time series analysis
Ryan Frederick of Dominos explains how his data science team improved their supply chain by providing highly accurate and scalable demand forecasts through extensible time series forecasting and scaled R-based models using RapidMiner. Watch the full presentation here.