We use the Internet of Things to characterise urban goods distribution operations, as well as to design and develop the storage area where the delivery goods will be housed. We also use IoT to connect the storage area to the vehicle it is a part of.

We use big data to build patterns based on large volumes of information as this helps to predict key aspects related to transport routes, vehicles, facilities and staff. This leads to cost savings and greater efficiency.

Big data can be used in conjunction with sensors, such as those developed by ITENE, to obtain valuable information on the accelerations, shocks and vibrations occurring during transport, as well as the temperature and humidity conditions to which the load is subjected.

We use artificial intelligence (AI) to apply algorithms and data processing to provide solutions that optimise the different stage of the logistics chain which, in turn, facilitates optimum decision-making tailored to the different demand scenarios.

The application of AI to route management and efficient control of transport operations leads to more effective goods transport management and optimised operations.

We use machine learning technology for logistics operations which enables us to create predictive models about the traffic conditions that affect vehicles and goods.

We use the blockchain system for e-commerce goods distribution which provides us with full product traceability, creates contexts of trust and brings secure digital certificates.