AI Utility Customer & Asset Analytics

Advanced analytics for utility customer insights, asset management optimization, and schedule optimization.

The Problem

“Unifying customer and asset insights for reliability”

Organizations face these key challenges:

Siloed operational and customer systems prevent a single, trusted view of grid conditions and customer experience

Reactive maintenance and outage response lead to avoidable failures, longer restoration times, and inefficient crew utilization

Limited ability to detect and prioritize losses, meter issues, and high-bill drivers at scale, increasing revenue leakage and call center load

Impact When Solved

Predict asset failure and outage risk to shift 15–30% of work from reactive to planned maintenanceReduce outage duration 10–25% by improving fault localization, crew dispatch, and targeted switching recommendationsLower losses and exceptions to recover 0.2–1.0% revenue while cutting truck rolls 20–40% through smarter field prioritization

The Shift

Real-World Use Cases

AI in Energy Industry: Smart Grid Optimization and Energy Management

This is like giving the entire power system—power plants, grids, and large customers—a real‑time ‘autopilot’ that constantly predicts demand, reroutes electricity, and tunes equipment so you use less fuel, waste less energy, and keep the lights on more reliably.

Time-SeriesEmerging Standard

8.5