Modern day planners are bombarded with large volumes of both historical and real time data. Planning systems must rapidly identify trends, exclude outliers, and turn data exceptions into actionable insights, which is why Supply Chain Planning is a natural candidate for machine learning. Thanks to the IoT there is more real-time data providing visibility of the short-term horizon. In this presentation we will discuss how machine learning and demand sensing change the demand planning game.
Shaun Phillips, QAD DynaSys