Teaming Up with the Machines: How Can Machine Learning Improve Logistics?

Logistics operations function within an incredibly complex web — suppliers, clients, middlemen, financiers — and depend on everyone providing their supplies, materials, and goods on time. When timing isn’t aligned, the entire web is immediately behind the eight-ball. As logistics continues on a path of digitization, third-party logistics suppliers (3PLs) are considering the incorporation of machine learning (ML) to help manage the monstrous task of tracking an entire supply chain and keeping processes on schedule. 

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