Cédric Millet, President of CargoTech, emphasizes that the AI is sporadically used in different segments of the air cargo industry – mostly in customer service and engagement functions, because these have the greatest similarity to processes in other, more digitally-developed industries. Much of the air cargo industry is still in the phase of digitizing its operations and starting to accumulate data volumes. Millet, said, “To embark on the journey of AI-assisted decision-making, it is crucial to extract a large volume of data to train the models and to identify anomalies for better decision-making, going forward. It is important to remember that AI is quite a broad umbrella, not just ChatGPT/generative AI. Wiremind Cargo successfully deploys machine learning models that assist customers with commercial decisions regarding capacity and revenue management. By using Machine Learning models, CargoTech’s solutions are able to process vast data sets to spot trends and patterns, allowing the models to replicate what analysts would be doing at scale.”
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