What does CME do?
CME integrates and analyzes data from multiple sources: telemetry, network traffic, weather, installed equipment, maintenance alarms, and population density. Thanks to AI algorithms developed in ETL (Extract, Transform and Load) tools, the system:
- Predicts energy consumption.
- It generates energy diagnostics, indicators, alarms and efficiency recommendations.
- Automate energy management processes.
This centralized approach allows for more agile and efficient management of thousands of sites, improving the company’s operational intelligence.
Intelligent Invoice Digitization
One of the previous milestones, which has given us the possibility of doing the CME, was the digitization of more than 35,000 monthly invoices with more than 200 different formats, using generative AI. This avoided the need to develop multiple manual digitization models, allowing more than 150 technical and financial variables to be incorporated into the system. As a result:
- Manual loading on databases was reduced from 5% to 1%.
- Specialized human resources were freed up for higher-value tasks.
Operational and strategic benefits
One of the main benefits that the development of the CME has brought is the reduction of data processing time from 8 hours to only 7 minutes. This is a considerable improvement in the daily proactive management of the various points of consumption through automatic integration, analysis of various databases, creation of complex analysis flows and automation. In addition, CME generates automatic suggestions for energy efficiency projects, which can reduce consumption in each facility depending on the usage profile and opportunities detected.
Environmental impact and sustainability
Although the system does not yet generate a direct reduction in electricity consumption in Brazil, it does significantly improve energy efficiency and operational management, which lays the foundation for future savings. The avoided emissions linked to the energy efficiency projects that will be generated thanks to the continuous development and suggestions that occur in the CME must also be taken into account.
Energy observability: a new era
The development of the Energy Monitoring Center together with intelligent digitization of bills represents a paradigm shift in energy management in Brazil. Observability involves monitoring the environment with AI, this ability makes energy a strategic tool, aligned with Telefónica’s sustainability and digital transformation objectives.
