Using AI algorithms and machine learning for HVAC optimization, Certis enhanced facilities management efficiency, achieving a 10% productivity gain and significant energy savings
Industry Leader: Certis, a top provider of security and integrated solutions in Singapore and globally.
IFM Expertise: Known for Integrated Facilities Management, offering advanced HVAC maintenance services.
Objective: To meet growing client demands by enhancing HVAC system optimization capabilities through data-driven solutions.
Lack of Data Transparency: Difficulty in accessing and analyzing relevant data.
Time-Consuming Data Extraction: Manually extracting datasets to identify potential optimization areas was labor-intensive.
Limited Real-Time Data: Reliance on historical data modeling without predictive insights.
AI-Powered Optimization Drives Efficiency and Sustainability for Certis. By leveraging real-time data and predictive analytics, Certis enhanced workforce productivity, improved energy efficiency, and reduced operational costs, showcasing the power of AI in transforming HVAC management.
Productivity Gain – Automated adjustments led to a significant boost in workforce efficiency
Energy Savings – Predictive analytics enabled smarter operations, cutting energy use
Decrease in Energy Wastage – Enhanced sensor accuracy reduced wastage, improving overall reliability
Reduction in Energy Costs – Overall efficiency gains translated into notable energy cost savings
