At CORBA, we believe that academic research should make a difference beyond publications. In close collaboration with partners from business, government, and society, we apply cutting-edge Operations Research and Business Analytics methods to support data-driven decision-making. Our goal is to create sustainable value by linking economic success with social and environmental awareness.
A collaboration with Siemens AG, we develop predictive and prescriptive methods to optimize ATM inventories and replenishment routes. By combining machine learning with optimization, we aim to improve decision quality beyond pure demand forecasting.
In collaboration with Sparkassen-Finanzgruppe, we explored the potential of IloT-driven digital financing, providing insights for banks to strategically navigate the evolving digital market.
Together with Solar Materials GmbH, we develop an end-to-end machine learning model to optimize recycling processes, maximize yield, and reduce waste within a circular economy framework.
From applied challenges to intelligent solutions - dicover how AI drives innovation at CORBA.
Last Modification: 30.10.2025 -
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