Autonomous technology continues to make an impact on the supply chain. The autonomous supply chain, applies to moving goods without human intervention (to some degree at least) or aiding in achieving inventory accuracy. One of the more interesting examples is the Belgian brewery De Halve Maan, which in an effort to reduce congestion on the city streets, built a beer pipeline under the streets. The pipeline is capable of carrying 1,500 gallons of beer an hour at 12 mph to a bottling facility two miles away. Autonomous technology is seen in warehouses and stores, on highways and in mines, and in last mile deliveries.
Each time there's a headline about driverless trucking technology, another piece is taken out of the old equation. First, an Uber/Otto truck's safety driver went hands-off once the truck reached the highway (and said truck successfully delivered its valuable cargo of 50,000 beers). Then, Starsky Robotics announced its trucks would start making autonomous deliveries without a human in the vehicle at all. Now, Volvo has taken the tech one step further. Its new trucks not only won't have safety drivers, they won't even have the option of putting safety drivers behind the wheel, because there is no wheel--and no cab, either.
This article about the best artificial intelligence logistics startups is part of the "Logistics of the Future" series looking at the top logistics startups today. We are officially living in the age of Artificial Intelligence. It's everywhere we look, from AI-powered personal assistants to predictive analytics to making medical diagnoses, Artificial Intelligence is making incredible advances across all industries. In fact, a recent report on the state of Artificial Intelligence for enterprises found that supply chain and operations are some of the top areas where businesses are driving revenue from AI investment. Why is AI making such a big difference in the logistics and supply chain, particularly?
We analyzed which jobs are most -- and least -- at risk, given factors including tasks involved, the current commercial deployment of technology, patent activity, regulations, and more. Meanwhile, several big corporations have open sourced their AI software libraries in recent years -- another major accelerant for AI. Our time frame was the next 5-10 years, and the relative risk of automation was based on factors including tasks involved, current commercial deployment of technology, patent activity, investment activity, technological challenges, and regulations. Google Ventures and Khosla Ventures recently funded burger-flipping robot Mometum Machines (funding and patents below).
Automation is coming after jobs, from fast food workers to accountants. We analyzed which jobs are most -- and least -- at risk, given factors including tasks involved, the current commercial deployment of technology, patent activity, regulations, and more. The shift from traditional manufacturing to computer-enabled industry took nearly a century. But the shift from personal computing to billions of smartphones, massive networks, and the IoT has taken just a couple of decades. And the next phase of technological evolution is already underway: advanced neural networks that learn, adapt, and respond to situations. With AI and automation advancing at a breakneck pace, society's capacity to respond is being stretched to the limit. Cities are seeing front-end automated restaurants like Eatsa gaining popularity, while in factories automation has already arguably been a part of life for years (if not decades) in the form of heavy industrial and agricultural robots. Analyzing the automation landscape, we found that 10 million service and warehouse jobs are at high risk of displacement within the next 5 – 10 years in the US alone. Meanwhile, nearly 5 million retail workers are at a medium risk of automation within 10 years. To put these numbers into perspective, estimates are that over a few years the Great Recession of 2007 – 2010 destroyed 8.7 million jobs in the US.