The application of artificial intelligence in waste management: understanding the potential of data-driven approaches for the circular economy paradigm

Purpose – Our study examines how artificial intelligence (AI) can enhance decision-making processes to promote circular economy practices within the utility sector. Design/methodology/approach – A unique case study of Alia Servizi Ambientali Spa, an Italian multi- utility company using AI for waste management, is analyzed using the Gioia method and semi-structured interviews. Findings – Our study discovers the proactive role of the user in waste management processes, the importance of economic incentives to increase the usefulness of the technology and the role of AI in waste management transformation processes (e.g. glass waste). Originality/value – The present study enhances the circular economy model (transformation, distribution and recovery), uncovering AI’s role in waste management. Finally, we inspire managers with algorithms used for data-driven decisions.