Explore articles and reports related to artificial intelligence for logistics, including applications for supply chain management, emergency management, and more.
The precipitous drop in the price of drones and the intelligent guidance systems that power them has created a broad range of commercial applications (we covered industrial drone applications in a previous article). One use-case that has captured popular attention and large scale investment from a variety of retailers and start ups is autonomous delivery vehicles.
While self-driving trucks and self-driving cars make use of much of the same technology to power their AI systems, it would be a mistake to think the expected roll out date of both developments to would be identical. Their similarities can easily mask their significant differences.
Just as car companies are betting big that self-driving vehicles will change our roads, shipping companies are making a similar bet that automation will change how we move goods around the world. For autonomous ships, the open ocean may prove to be more fertile ground for the adoption of full automation than crowded city streets.
There’s a lot of buzz about artificial intelligence shaking up enterprise procurement over the next five years. Procurement leaders wonder what elements of their jobs will be augmented - or even fully automated - by the intelligent systems. Which roles are secure from full automation, and how will more “automate-able” jobs have to adapt in the years ahead?
In a global market that makes room for more competitors by the day, some companies are turning to AI and machine learning to try to gain an edge. Supply chain and inventory management is a domain that has missed some of the media limelight, but one where industry leaders have been hard at work developing new AI and machine learning technologies over the past decade.
