Smart building automation is a critical aspect of real estate business strategy, and getting it right can have a significant impact on tenant experience and operational costs. Traditional methods of building automation, such as manual tracking or rule-based systems, can be time-consuming and may not take into account all the factors that can influence building operations.

AI and machine learning (ML) can play a key role in optimizing smart building automation in real estate businesses. By training an ML model on building systems, occupancy data, and weather patterns, our solution can identify opportunities to reduce costs, increase energy efficiency, and enhance tenant comfort. In addition, ML models can be used to adjust building systems and equipment based on real-time data, ensuring that buildings are operating at peak efficiency.