The research focuses on the integration of intelligent transport and logistics systems for sustainable supply chain management. The aim is to study the impact of digital technologies on optimizing processes and enhancing sustainability. A robust methodological approach was employed, combining theoretical and empirical research techniques. A comparative analysis of intelligent transport systems (ITS) and intelligent logistics systems (ILS) reveals that their integration can significantly enhance supply chain management. Both systems are designed to optimize processes, increase efficiency, and improve environmental performance. However, the study found that autonomous ITS are often used in isolation, limiting their effectiveness. The research demonstrates that ITS and ILS can effectively interact and integrate to create a comprehensive mechanism that optimizes goods movement, reduces costs, and minimizes environmental impact. Digital technologies like IoT, blockchain, data analytics, AI, automation, and robotization play a crucial role in facilitating this integration. A practical outcome of the research is the analysis of software products related to supply chain management and digital transport and logistics platforms. The study shows that their integration can effectively reduce the carbon footprint. The integration of ITS and ILS provides supply chain managers with valuable insights for making strategic and operational decisions. These decisions can help reduce greenhouse gas emissions throughout the product lifecycle and promote sustainable development strategies for all participants.