There’s often a misconception that AI in itself will be able to solve some of the industry’s biggest challenges. Over time, it has become evident that AI doesn’t address a foundational issue: airlines must still strategize on how data can optimize commercial decision-making. AI doesn’t replace the need for commercial teams to devise innovative use cases that drive value through better decision-making. AI should be viewed as an enabler rather than an end goal.

Flying with a half-full cargo hold may be a thing of the past, with the help of next-gen technologies. From optimizing cargo loads to streamlining compliance regulations, emerging technologies — such as AI, machine learning and advanced analytics — can help airlines find maximum efficiency in their cargo operations.

Only a few years ago excitement over the burgeoning potential of Artificial Intelligence (AI) within the air cargo sector might have been met with stifled laughter, but today generative AI is already capable of automating everything from warehouse operations to cargo routing, capacity optimisation, and dynamic rates distribution.

In Air Cargo we move shipments from A to B, a simple job, right?! Think again: in today’s ever-changing geo-political context, trade and transport is the proverbial ball being kicked around in the power-play game around the world. It is overwhelming work when we look at the risk and liability topics that the Transport Service Providers (TSP) have to assess before moving cargo.