Smart control in commercial banking

Caso de éxito


With more than 2,000 branches, Mexico’s second-largest bank faces the challenge of reducing costs and being sustainable while adapting its operations to serve a smaller branch capacity and complying with social distancing and air quality guidelines. This challenge adds to their sustainability efforts of purchasing energy from renewable sources and our corporate buildings and branches’ efficient design.

We conducted a pilot test to streamline air conditioning control and optimize energy consumption based on new operational variables such as customer service schedules’ constant change. With IoT digitalization and intelligent thermostats controlled by APIs, we achieved exceptional results without affecting customer comfort. The web control and monitoring platform, together with the ChatBot developed by S2G Energy, made it easier for users to identify, correct, and make corrective decisions in real-time.


The default and static scheduling of the air conditioning control system and main manageable electrical loads of more than 2,000 bank branches represents a challenge to ensure efficient energy use. This became a problem during the pandemic when they had to adjust their operations and schedules at a national level. At the same time, protocols were released in each state of the republic, without affecting comfort and with the task of reducing operating costs.


Adapting and digitizing the operation of bank branches to capture energy savings while prioritizing customer comfort.


Installation of smart thermostats controlled by an API and IoT sensors for measuring energy consumption to monitor and make the HVAC system’s energy consumption more efficient, achieving savings of up to 20%.

Development of a remote-control platform for the HVAC system through a web platform and chatbot. Benchmark of equipment, asset management with real-time visualizations of energy consumption, and HVAC system setpoints. Dynamic standardization of internal temperature setpoints through algorithms that adapts to different operating hours and atmospheric variables to optimize energy consumption, always maintaining interior comfort.

Dynamic standardization of internal temperature setpoints through learning algorithms considers changes in operating hours and atmospheric variables to optimize energy consumption, always maintaining interior comfort in the branches.


Impact verification through adaptive energy management generating an average savings of 19% compared to the baseline. and has a sensitivity of potential energy savings at scale for the business.

Intelligent maintenance that alerts anomalies of energy consumption in critical equipment to avoid failures. Also mitigating costs for visits for physical review of HVAC equipment, this due to the possibility of controlling and visualizing equipment status remotely.

Facilitation of the financial projection for energy resources expenses and the related savings potential. Reconciliation of branch office spending for budget estimation.


4 branches

MXN $227k Financial savings in 10 months

19% Energy savings in operations versus the prior year