Document Processing · Real-time Analytics
Telefónica Brasil needed to monitor and manage electricity consumption across more than 35,000 sites nationwide, including real-time oversight of medium-voltage locations, while also handling over 35,000 monthly utility invoices in more than 200 formats without building and maintaining many manual digitization models or spending hours on daily data processing.
Reported impact
The system improved operational intelligence and proactive energy management by centralizing automated analysis across thousands of sites, cutting daily processing time dramatically, reducing manual database loading, and freeing specialized staff for higher-value work while generating automatic suggestions for future energy-efficiency projects.
Telefónica Brasil built CME (Energy Monitoring Center), an in-house AI-based energy management system for electricity operations across Brazil. CME ingests telemetry, network traffic, weather data, installed-equipment information, maintenance alarms, population-density inputs, and digitized electricity invoices. The invoice stream is normalized with generative AI so bills in more than 200 formats can be converted into structured data and contribute more than 150 technical and financial variables. AI algorithms implemented in ETL tools then integrate, transform, and analyze these multi-source datasets to predict energy consumption, generate diagnostics and indicators, trigger alarms, automate management workflows, and recommend efficiency actions. CME serves as the centralized operational layer for monitoring more than 35,000 consumption points, with real-time visibility for medium-voltage sites and automated analysis flows feeding proactive energy management.
Telemetry, network traffic, weather, equipment, maintenance-alarm, population-density, and invoice data are ingested into CME. Generative AI converts invoice formats into structured variables, then AI algorithms in ETL tools integrate and analyze the combined datasets. The resulting predictions, diagnostics, alarms, indicators, and efficiency recommendations are served through CME for centralized management of sites across Brazil.
"CME integrates and analyzes data from multiple sources: telemetry, network traffic, weather, installed equipment, maintenance alarms, and population density."
"Manual loading on databases was reduced from 5% to 1%."
"Telefónica Brasil has developed an innovative energy management system based on artificial intelligence named CME (Centro de Monitoreo Energético/Energy Monitoring Center)."
"Thanks to AI algorithms developed in ETL (Extract, Transform and Load) tools, the system: Predicts energy consumption."
"This system allows monitoring more than 35,000 points of electricity consumption throughout the country."
"allowing more than 150 technical and financial variables to be incorporated into the system"
"the digitization of more than 35,000 monthly invoices with more than 200 different formats, using generative AI"
"the reduction of data processing time from 8 hours to only 7 minutes."
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Traceability
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