Logistics-and-shipping giant UPS was able to use cloud-based data processing, artificial intelligence (AI), and machine-learning tools to design optimized routing software. When delivering more than 20 million packages a day around the world (more during peak times), UPS drivers make an average of 120 to 125 pickups and drop-offs. The number of possible routes is nearly 200 digits long. Machine-learning models capable of processing one billion data points a day examine package weight, shape, and size, as well as facility capacity across the network, to save UPS up to $400 million a year and reduce fuel consumption by ten million gallons a year.
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