CONVOY : EFFICIENCY AND THE ENVIRONMENT
TUSIMPLE : AUTONOMOUS TRUCKS
DIGITALISATION
58 integrated pre-trained AI applications such as recommendations and forecasting , utilise flexible frameworks for custom algorithms and broad compute options as well as harness deep learning technology , analytics and security .
CONVOY : EFFICIENCY AND THE ENVIRONMENT
In recent months , Convoy partnered with AWS to utilise its machine learning services developing a solution to make trucking more efficient and environmentally friendly .
40 % of miles per year logged by truck drivers are completed with empty trucks . A part of the problem is the industry infrastructure combined with the use of traditional methods . Using AI Convoy looked to automate the process with the help of AWS .
By utilising Amazon SageMaker , Convoy developed a machine learning model that can analyse millions of shipping jobs and trucker availability , resulting in recommended matches that are cost and time efficient . In addition to this , the model will also recommend matches for the journey back , which reduces the number of miles completed by empty trucks , which in turn will have a positive impact on the environment .
“ As we work with more shippers and carriers , we get a better understanding of how much capacity is available and how much demand is coming in on specific lanes ,” says Casey Olives , Head of Data Science at Convoy . “ Being able to have a contextual view of the entire network will enable us to drive efficiencies in utilisation and costs , benefiting both carriers and shippers .”
TUSIMPLE : AUTONOMOUS TRUCKS
TuSimple , one of the world ’ s largest self-driving truck companies , has partnered with AWS to develop
NOVEMBER 2019