Step 1
Meter data in
Readings, events and tamper flags
← Energy playbook · Use case
Smart-meter anomaly detection
Powered by QAO MeterGuard
“Meter data arrives every 15 minutes, but theft still goes unnoticed.”
Who feels it: Revenue protection head, field inspection teams
The problem today
Smart meters send readings constantly, but analysis happens in monthly reports. Tampering, bypass and billing errors surface late, and field teams inspect sites without knowing which ones are most likely to recover revenue.
Our approach
QAO MeterGuard watches meter readings, events and billing together, flags tamper and loss patterns, and ranks sites by likely recovery. Engineers approve inspection work orders before crews go out.
How it works
From meter reading to field action.
Step 2
Anomaly detection
Finds tamper, bypass and billing patterns
Step 3
Engineer review
Approves the inspections worth doing
Step 4
Field work orders
Crews visit ranked sites and report back
Data and systems
Smart-meter readingsMeter eventsBilling systemNetwork and GIS dataField work management
Value at stake
What changes.
90%
Reduction in time to detect anomalies
2x
Revenue recovered per inspection visit
100%
Inspections approved by an engineer
Solution families
Capabilities used