AI and automated shipping logistics

In the wake of COVID-19, all kinds of technological processes have been considered in an attempt to make up for supply chain complications and labor challenges. In this unstable environment, artificial intelligence has been instrumental in streamlining shipping logistics to accommodate the new normal, and the implications of this tech are widespread. 

AI itself has had a heyday in modern industry. One study found the use of AI in business processes has jumped 25 percent year-over-year as companies of all kinds integrate smarter computing processes to increase efficiency. The power of this tech across shipping and supply chains, in particular, is transforming the industry in the form of data analytics, connected monitoring systems, and automated processes.

Understanding these tools and the extent of their impact on global trade requires a deeper dive into the power of AI in shipping logistics and how companies are already applying these automated solutions. Here, we’ll explore these topics and more. 

First, let’s more properly define what we mean by AI. Artificial intelligence covers a broad field of smart processes, all of which use algorithms and data in order to make a computer perform a task previously associated with human intelligence. 

Obviously, this definition ranges far. From social media algorithms to autonomous vehicles, AI plays a role. But in the midst of all the capabilities of AI, one function is particularly powerful. Machine learning is a subset of AI that enables computers to make decisions based on data analysis. This process is fueled by big data, utilizing the insights possible through recorded information to process all kinds of patterns and predictions. As a result, a host of new devices that integrate machine learning are making life easier. 

These devices and systems include things like the following:

Because of the ability of machine learning to improve processes the more data it has, each of these systems and more are only going to get better. In terms of shipping logistics, the implications of AI-powered functions are widespread. 

First, smart devices generate immense amounts of data regarding supply chains, inventory, warehouse processes, freight, routes, and more. This data is then made available to data analysts and AI software that intelligently assembles the information and connects important data points. 

With such available insights, shipping logistics can be improved across the board. The benefits include: 

AI tech is driving all kinds of improvements at every level of the shipping logistics industry, from expense management to safety measures imposed. This means immeasurable benefits with the right applications and a cleaner future for the world. But how are shipping logistics professionals applying this tech now? 

While there is definitely room for improvement in modern AI tools, this technology has advanced the sectors to which it is applied.