Using artificial intelligence to improve capacity coverage
One way BAT Logistics accomplished this was by creating its own proprietary
capacity matching technology that uses Microsoft Azure machine learning, to give BAT the ability to find the best-suited carrier that’s available in seconds.
It’s all about getting the most out of our carrier base rather than outsourcing to loadboards and focusing our contracted carriers said Jarrod Marinello, executive vice president. “We have technology working for us to learn our carrier’s most desired lanes, and the likelihood the carrier will have an available truck.
How does machine learning work?
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.