A.I. is seeping into virtually every industry, and logistics isn’t immune. Imagine systems that can sift through huge volumes of information to formulate “smart” recommendations as to routes, scheduling and pricing. Their capabilities would far exceed those of the human brain. But will carriers be able to take advantage of the output? Are containership schedules, for example, flexible enough to be tweaked every time an A.I. machine suggests it? On this episode, we learn about the progress of A.I. in logistics from Dan Stoll, senior technical manager of Nintex, a provider of workflow automation systems. He also discusses the limitations of the technology, which has yet to truly mirror the workings of the brain, notwithstanding the A.I. label. Hosted by Bob Bowman, Managing Editor of SupplyChainBrain.
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Microsoft and OOCL’s A.I. partnership.
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