The Art Of Applying Artificial Intelligence And Machine Learning To Container Terminal Operations

The Art Of Applying Artificial Intelligence And Machine Learning To Container Terminal Operations 

Which aspects of Artificial Intelligence (AI) will be most relevant to terminals in the next couple of years: natural language processing, image recognition, virtual reality, games, robots?

We believe that many AI-based benefits for container terminal operations come down to software making automated decisions, or software presenting users with recommendations on what decisions to make. We can break this topic further down into three components. First, there is the need for a proper foundation of data that goes far beyond what we have today. Second, we need to be smart about the actual approach to making the decision in terms of quality and timeliness, and factoring in all the relevant data that humans take into consideration. And third, appropriate human/software interfaces are needed to present recommended decisions, confirm execution, capture priorities, and display the right information at the right time to the right user at a container terminal.

In this article, we focus on the second topic: What operational decisions are made automatically at container terminals today -- and how that will change in the future.