When a major commercial facility in Mumbai was struggling with rising energy costs and inefficient HVAC operations, they turned to Ardra AI for a comprehensive solution. The facility, spanning over 200,000 sq ft, was consuming significantly more energy than industry benchmarks.
Ardra AI deployed its EMS platform with over 150 IoT sensors across the facility, monitoring real-time power consumption, temperature, humidity, and equipment performance. The data was fed into Ardra's AI analytics engine for pattern recognition and anomaly detection.
Within the first month, Ardra AI identified that the HVAC system was operating at 40% overcapacity during non-peak hours. The automated load-shedding feature reduced unnecessary cooling cycles, resulting in immediate savings.
After three months of optimization, the facility achieved a 25% reduction in overall energy consumption, saving approximately ₹15 lakhs per month. The predictive maintenance module also identified two potential equipment failures before they occurred, preventing costly downtime.
The success of this deployment demonstrates how AI-driven energy management can deliver measurable results quickly. The combination of real-time monitoring, predictive analytics, and automated control creates a powerful framework for sustainable energy optimization.