a.s.r. real estate - Data science market forecasting framework

a.s.r. real estate developed a machine learning-based forecasting framework to support client-specific investment decisions in turbulent market conditions. By predicting yield gaps, rental value growth, and occupancy rates under various economic scenarios, the tool enables tailored asset allocation strategies. Integrated into the firm’s data infrastructure, the model enhances forecasting accuracy and supports smarter, faster decision-making across investment teams.