Posted September 07, 2018 09:09:22A new technology has revolutionized the logistics industry, allowing companies to use machine learning to predict movement of their troops in Afghanistan.
The new analytics system uses predictive analytics tools developed by a University of Illinois engineering professor.
The University of Iowa’s Center for Advanced Research and Technology (CART) is developing the technology.
RoboRack, developed by the University of Texas at Austin, uses predictive modeling to predict when a convoy will cross a given route and how much fuel will be required to move the vehicles.
The company recently partnered with the United Nations and the European Union to test the technology on a convoy of humanitarian aid.
In a video, RoboRacks CEO and co-founder Sam Brownlee describes the technology and how it is being used in the war in Afghanistan, which has killed thousands of civilians.
The video shows the team running an analysis to predict where the convoy will be when it arrives at the front lines, how much it will cost to transport the aid, and the time it will take to get there.
The company uses its own data to predict the convoy’s route and where the aid will be needed.
RoboRs vehicles will then drive over a map of Afghanistan to calculate the cost of transporting aid.
Robos vehicle has to be equipped with GPS, radio, cameras and a camera for capturing images of the convoy and the aid it will deliver.
Robotics technology can now provide an unparalleled level of predictability for companies, Brownlee said.
Robots have become a critical part of the global war effort since President Donald Trump withdrew the U.S. from the Paris Climate Agreement.
They have made it possible for the military to move supplies and troops quickly and securely.
RobroRacks, which is based in Cedar Rapids, Iowa, is an online-only company.
Its website includes a blog, a newsletter and an app that helps users manage their logistics.
Robotic trucks have been used by U.N. peacekeepers in Bosnia, Liberia and the Democratic Republic of Congo.
Robot trucks are not the only technology being used to predict movements of troops and goods in Afghanistan and other conflicts around the world.
Many businesses have used predictive analytics to predict revenue from new products or services.
For example, Uber Technologies Inc. (NASDAQ:UBER), which operates in the U:U.S., announced last year it was building a data analytics tool that could help companies forecast revenue.
The tool, called the ROIS (Research, Optimization and Insights) platform, would allow companies to estimate revenue by analyzing how much customers are spending and how many transactions they make.
Robocop, which provides delivery drones for businesses, said it would begin using its own predictive analytics tool to help predict when and how its drones will fly, including the route it will travel.
Roboscop is developing its own tool to predict delivery routes and the cost associated with that journey.
The firm said it has partnered with U.K.-based IT services provider Deliveroo to help it use the tool to identify the most efficient routes.
Delivery drones have been a key part of many drone deliveries.
Last month, a drone was seen delivering packages to a UPS store in Chicago.
Robocoop and Deliveroo are also developing a data science platform for business intelligence, which could help them forecast revenue, Brown Lee said.