The collaborative R&D project LogAid has officially started! During the consortium meeting, the project team outlined initial activities and defined the next steps in the research process.

LogAid focuses on AI-supported logistics optimization to support human decision-makers. By integrating machine learning and optimization algorithms, the system can optimize the use of transportation and storage spaces, reduce costs and minimize environmental impact. Moreover, the system is designed to continuously learn from user decisions and feedback, thus constantly improving and adapting its suggestions.