The main problem addressed by the PrEDICTS project is the inefficiency of the cargo transport in the European Union and around the world in general. For example, EU trucks are driving around with an average of 43% empty space due to poor linehaul capacity utilization, and also the assets (e.g. trucks, containers, trailers, etc.) are used only 33% of the time, while the rest of the time they are just standing. These inefficiencies lead to CO2 emissions, traffic jams, noise levels and low margins for logistics companies. At the same time, the logistics industry is being disrupted by the new technological players (e.g. Amazon, Uber), pressure from the e-commerce growth, new capital-intensive technologies (e.g. electric trucks, drones, etc.), and many other factors, so the logistics companies need to become much more efficient in order to stay in business. To address these inefficiencies, Transmetrics developed PrEDICTS - a predictive optimization software based on Artificial Intelligence and machine learning specifically for transport and logistics. PrEDICTS' first beta client recorded a 10% increase in capacity utilization and 7-9% total cost savings.