Energy efficiency has become a strategic priority for the real estate sector, driven by both regulatory pressure and operational savings. Unlike generic systems, custom applications allow integrating IoT sensors, smart meters, and building management systems into a unified platform. With custom software, real estate companies can monitor consumption by floor, schedule, or type of use, identifying waste patterns that would otherwise go unnoticed. The incorporation of artificial intelligence and predictive models makes it possible to anticipate demand peaks and automatically adjust heating, ventilation, and air conditioning or lighting. These AI agents learn from the building's behavior and propose corrective actions in real time, reducing expenses without sacrificing comfort. To support the volume of generated data, AWS and Azure cloud services offer scalability and low latency, while cybersecurity ensures that sensitive consumption and occupancy information remains protected. Additionally, dashboards built with Power BI and other business intelligence services transform raw data into clear visualizations for managers and maintenance teams. Q2BSTUDIO deploys these capabilities through enterprise AI tailored to each asset portfolio, ensuring that sustainability goals translate into measurable cost and emission reductions. For example, a platform can compare energy performance across sites, trigger optimization workflows when deviations are detected, and automatically report to certifications such as LEED or BREEAM. Artificial intelligence applied to energy management not only improves efficiency but also provides a competitive advantage in a market increasingly demanding regarding environmental footprint.

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