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AI and Energy Efficiency: the Genesis solution for raising the efficiency of Unieuro stores
Improving the energy efficiency of a large commercial space is a complex challenge that requires balancing multiple factors: ensuring a comfortable indoor environment for customers and employees, while at the same time abiding by ESG guidelines for sustainable commercial facilities.
In order to effectively manage air conditioning, motive power and lighting systems, systems driven by advanced algorithms that operate in self-learning mode need to be implemented. In the Unieuro case study, we will explore how the project’s objectives were achieved and the tools and strategies deployed to achieve them.







