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Certis Boosts Productivity with AI HVAC Optimization

Achieving a 10% productivity gain, 5% energy savings, and reduced costs through real-time data and predictive analytics.

EnOS™ Ark

About Certis

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.

Challenges

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. 

Outcomes

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.

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Productivity Gain – Automated adjustments led to a significant boost in workforce efficiency

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Energy Savings – Predictive analytics enabled smarter operations, cutting energy use

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Decrease in Energy Wastage – Enhanced sensor accuracy reduced wastage, improving overall reliability

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Reduction in Energy Costs – Overall efficiency gains translated into notable energy cost savings

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