Challenge
Replace siloed SCADA dashboards with a single live twin of 1,400 substations, transformers, and feeders — and shift the maintenance crew from reactive callouts to predictive interventions.
Utilities & Energy · Case Study
GeoTwin AI for a 1,400-Asset Distribution Network
Client: Regional electricity distribution utility (anonymized)
Approach
- Mapped every asset onto an interactive GeoTwin with health, criticality, and last-inspection metadata.
- Streamed 6,200 IoT sensors (load, temperature, vibration, partial discharge) into the Operations Dashboard.
- Configured KPI tiles for active alerts, critical assets, sensor status, maintenance backlog, risk zones, energy usage, and environmental indicators.
- Enabled AI-generated daily summaries, incident reports, priority lists, and recommended actions.
Outcome
Control-room operators now run the network from one twin instead of seven dashboards. AI-prioritized work orders cleared a 9-month maintenance backlog in 14 weeks and reduced SAIDI by 18%.
Key metrics
Representative figures from this engagement.
1,400
Assets on the twin
6,200
Live sensors streamed
-31%
Unplanned outages
-64%
Mean time to detect incidents
412 jobs / quarter
Preventive maintenance triggered by AI
Get the full sample report
See the layouts, metrics, and AI-written briefings GeoSense AI produces — free PDF, no signup required.
⬇ Download Utilities & Energy sample reportRelated case studies
Explore how other industries use GeoSense AI.
Retail & F&B
Site Selection for a 12-Store QSR Expansion
Site selection and catchment analysis
Real Estate
Neighborhood Intelligence for a $40M Mixed-Use Acquisition
Investment scoring & neighborhood briefings
Logistics & Supply Chain
Last-Mile Hub Network Design for an E-commerce 3PL
Warehouse, hub & last-mile planning