This article discusses the important AI subset of Machine Learning and its application to the area of supply chain planning and optimization. It defines machine learning and how it relates to other advanced analytic methods including AI; predictive, prescriptive and cognitive analytics; algorithmic optimization; and cognitive computing. It also provides a list of potential improvement areas to help practitioners build a business case for machine learning to secure the investment required to benefit from this game-changing technology.

From Issue: Machine Learning in Supply Chain Planning– When Art & Science Converge
(Spring 2019)

Machine Learning in Supply Chain Planning - When Art & Science Converge By Henry Canitz