AI in transport seeks to increase efficiency, safety and comfort in the transport sector by using advanced technologies to analyse data, make decisions and automate various processes (including, but not limited to: traffic, logistics and routing management, autonomous vehicles, vehicle monitoring and diagnosis, fleet management, personalisation of transport services, road safety).
AI in logistics aims to increase efficiency, reduce costs, minimise errors, improve product availability and enhance customer satisfaction through the application of smart technologies in the area of supply chain management.
AI in management aims to make businesses more efficient, innovative and competitive through the intelligent use of data, automation of routine tasks and better decision-making based on data analysis.