On the Role of Big Data and Artificial Intelligence for the Sustainability of Complex Logistics Networks of Offshore Companies

Corporate logistics network data is a complex system made up of a large number of interacting entities, used to control, implement and plan the transport and distribution of goods and raw materials. They are essential to supply chain management and subsequently to customer satisfaction. Today, international freight transport is one of the main pillars of world trade. Its importance lies in the diversity of studies and analyses that have been carried out on this type of transport, covering all aspects of international trade - administrative, political, technical and economic - with the aim of developing and modernising this mode of transport. Developing and modernising this logistics network has therefore become a major objective for players in the global economy, given the rapid pace of technological, IT and scientific development. However, the use of intelligent and optimisation techniques in logistics networks has always faced constraints in terms of application and decision-making, with the volume of goods transported increasing every year, leading to new challenges for researchers and operators in this area of international trade. With this in mind, the aim of this literature review is to outline intelligent solutions based on artificial intelligence (AI) and Big Data (BD), in relation to logistics networks, while reviewing the state of the art of recently published studies that offer perspectives with the use of AI for the sustainability of logistics networks of offshore companies.