10 Examples of How Big Data in Logistics Can Transform The Supply Chain
datapine
MAY 2, 2023
To work effectively, big data requires a large amount of high-quality information sources. Where is all of that data going to come from? In an interview with the Wall Street Journal, Matthias Winkenbach , director of MIT’s Megacity Logistics Lab, details how last-mile analytics are yielding useful data. million miles.
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