The rapid growth of e-commerce is driving deep changes in logistics, from tightening up trucking capacity to elevating the importance of final-mile delivery processes. To respond, logistics managers now need to think in terms of systems that they can leverage today to make processes more efficient, while also keeping an eye on longer-term developments that will reshape tomorrow's possibilities. Several of thee include solutions currently in use, such as predictive analytics, supply chain control towers, and the continued digitization of freight forwarding; however, many, including blockchain-based traceability, driverless trucks, and even the advent of hyperloops, are all working through development, but promise to present bright new options in the future. The new take, says Joe Vernon, senior manager of North America supply chain analytics for consulting firm Capgemini, is predictive analytics that make use of machine learning and other related technology, including artificial intelligence (AI). "The goal is take all this data and be instructive with it, which is where machine learning comes in.