Artificial Intelligence for improving sustainability performance in the agri-food chain: The Regusto platform case

The aim of this work is to explore how artificial intelligence can improve sustainability performance in the agri-food sector, focusing on the adoption and monitoring of sustainable practices. AI has the potential to revolutionize the way companies operate, facilitating the transition to more sustainable business models and improving economic and environmental performance. This experimental thesis aims to investigate how AI technologies can be used to monitor, optimize and make production processes more efficient, thus contributing to the reduction of carbon emissions, saving resources and minimizing waste. At a time when sustainability is not only a regulatory obligation, but a determining factor for corporate competitiveness, this research fits into the global debate on the roleof new technologies in supporting companies in achieving the Sustainable Development Goals (SDGs). The importance of such an investigation is reinforced by the growing pressure that companies face to reduce their environmental footprint and adopt circular production models. Consequently, this study aims to provide a theoretical and practical basis for the implementation of AI solutions within companies in the agri-food sector, proposing innovative models to increase the efficiency and sustainability of their operations. In summary, the research intends to demonstrate how AI can not only facilitate the sustainable transformation of the agri-food supply chain, but also improve the economic performance of companies, answering key questions on how AI can be integrated into business processes and how it can help monitor sustainable practices. The whole study starts from a sample of about 40 articles that have as a common theme the presence of the 19 objectives of the 2030 agenda.