Automa uses big data and machine learning to enable a fully automated trucker-shipper marketplace.
Automa connects shippers to truckers and receives a commission for each load.
We built a machine learning algorithm to fully automate dispatch and maximize vehicle ROI, i.e. reduce fuel, maintenance, labor and maximize utilization. The algorithm is built on Apache Storm and scales horizontally to optimize very large vehicle fleets.
Fleet optimization algorithms have traditionally had a 'compute then execute' paradigm. We change that paradigm by looking at fleet optimization as a time varying problem and continually updating the solution using real time streaming data such as real time traffic, weather, driver location and status, customer delays, and more.