In fact, Logistics has undergone a significant acceleration, mainly due to the development of e-commerce, which has led the sector having to deal with an increasingly large volume of goods in a very brief time. In this scenario, logistics has played a fundamental role in intercepting the needs of users and the potential of a sector in expansion to create a widespread network of services to support the entire sector.A recent report by the British research company Transport Intelligence concerning logistics numbers estimates the global value of the sector reached over 5,000 billion euros in the year 2020 and calculates that by 2024 there will be an average growth of around 5% per year. To cope with these numbers, professionals employed in the tasks of planning and distribution of goods are now supported by increasingly complex systems of Artificial Intelligence and automation, with a constant eye on the obligations that safeguarding the ecosystem places.Let us see in more detail the main logistics trends that will characterize the sector in the coming years.
Logistics and e-commerce
Since last year, distribution chains have been challenged by a significant increase in online orders and those companies that have sought to optimize their sales systems with a fast and effective delivery service, have been able to develop their own business more quickly. A 2017 study, drawn up by Geodis, showed that 57% of the entrepreneurs surveyed believed that the increase in the turnover of their companies was due to the advantages offered by the efficiency of the distribution chains. From these data, it is easy to understand how the development of the sector linked to the sale of goods online passes through the synergy between companies and shipping services activities, with significant development prospects for both sectors.
I Advantages of Artificial Intelligence Applied to Logistics
In recent years, the sector has evolved by combining innovative chain automation systems, which are able to optimize the sorting and delivery processes of goods through sophisticated algorithms, with a considerable saving of time and resources. In this sense the reduction of the risk associated with human error is no less important: artificial intelligence will play a key role in the development of the sector in the coming years.Equally significant is the use of Machine Learning, or those machines capable of automatically learning from the operations they are required to perform and therefore capable of acquiring decision-making autonomy. In this way, supply chains will soon be able to improve forecast accuracy by 10-20%, reduce costs by 5% and increase revenues by approximately 2-3%.