Artificial Intelligence on the U.S. Trucking Market

COUNCIL BLUFFS , May 03, 2019

With volatile pricing and frequent demand-capacity imbalances in the U.S. truckload market, Bat Logistics, a global third-party logistics leader (3PL) has announced by end of 2019 its “BTU Machine” forecast powered by Microsoft Azure Machine Learning
Identifying market trends to allow shippers to take advantage of future supply and demand outlook

BAT will have the ability to provide the best pricing to customers and suggest the best pricing strategy customers should take regarding spot or contract, short term or long term bids,” said Bat Logistics Vice President Jarrod Marinello. “This will give cutomers the potential to cut costs the entire year.

What is machine learning?

Machine learning uses computers to run predictive models that learn from existing data to forecast future behaviors, outcomes, and trends. Deep learning is a sub-field of machine learning, where models inspired by how our brain works are expressed mathematically, and the parameters defining the mathematical models, which can be in the order of few thousands to 100+ million, are learned automatically from the data.


Backhaul and Track Logistics d/b/a
BAT Logistics is a leading third-party logistics provider that arranges solutions to the shipping community. Our core strength is in arranging full truckload services in dry, refrigerated, and rail commodities. We arrange transportation using key National carriers with a focus on small to medium sized carriers. We arrange transportation in headhaul and backhaul lanes, both regionally and cross-country. We also use Door-to-Door rail services that cover the entire nation. Our industry knowledge and experience arranging rail transportation gives us a clear and distinct advantage over the competition.

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