The Future Of AI In Logistics

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Artificial intelligence

As the Internet of Things (IoT) grows and evolves, so too does the importance of Artificial Intelligence (AI) Logistics systems in modern day Logistics systems. If you’re anything like me, then you’re probably already well aware of how Artificial Intelligent (AI) logistic systems can dramatically impact all aspects of our lives. In fact, it’s becoming a sort of popular mantra in the business and corporate circles to implement some form of AI into their Logistics systems. Still, the issue at hand is whether or not such systems will be open and adaptable enough to allow humans to work alongside of them. Will we be able to fully and seamlessly integrate AI into our logistic systems in the future?

software application

The first step towards answering this question is understanding just what an AI Logistics system is. In simple terms, it is a software application that can and will help manage the logistics aspect of any organization. These systems can be used for anything from controlling the flow of goods at a factory, to the specific needs of each individual employee within a company. The way in which these systems operate is by using complex mathematical algorithms to help humans move through the warehouse, and track everything that is being moved. While this may seem simplistic on the surface, the truth is that these systems are incredibly complicated and extremely hard to program.

With such complexities in place, it’s no surprise that these software applications are incredibly expensive as well. Now, while I’m sure you’ve seen some of the software used at your local Wal-Mart or Best Buy, these programs are generally state of the art. This doesn’t mean they aren’t pricey, however. For instance, some of the software used at the aforementioned businesses can run hundreds of programs at once. Therefore, businesses that utilize such AI logistic systems aren’t necessarily small, but they are large enough to have a significant impact on the organization.

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So how should we think about the future of artificial intelligence in logistic systems? In many ways, we’re already using AI in all aspects of our lives. Face recognition software allows you to recognize human faces and give you suggestions based on certain features of a person. You’ll be able to recognize a dog from a distance and immediately give its proper tags and identification. This is only the beginning of the long list of technologies that are likely to be developed in the future.

So what can we expect from the future of logistic systems? As previously mentioned, most systems will use extremely complex and expensive software. However, this software will also have an extremely long memory. Meaning it can keep track of hundreds, even thousands of different events at the same time. It will be able to determine the optimal path for a truck to take, and will also be capable of determining if there’s a hazard on the path. Furthermore, the software will allow you to determine the optimal weight of materials to load a vehicle with based on variables such as speed, fuel economy, acceleration and other parameters.

The most advanced artificially intelligent software will be able to perform tons of analysis automatically. This means that in the future, a trucker won’t need to spend hours pouring over logs and reams of data trying to find anomalies or mistakes. The software will do it all for him. He’ll just be required to feed it the right information and it will run the calculations automatically.

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Of course, there are many challenges and obstacles to implementing artificial intelligence in logistic systems. One of the most obvious is that human drivers won’t be able to stay out of the cab while the truck is in motion. Additionally, the truck will need to be monitored by sensors in order to prevent fraud or cheating. Many companies have already started using these types of artificial intelligence to monitor their drivers, but in the future they may be mandatory.

Perhaps the biggest obstacle lies in making the software cost effective. Today’s computers, especially the high-end ones like the IBM’s ultra-modern laptops are very expensive. Even the cheaper models like the Compaq workstation series can be quite costly. This means that implementing artificial intelligence in logistic systems will most likely require large up front investments from companies or even a venture capital firm.

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