AI Network Intelligence and Predictive Analytics
Move from reactive operations to predictive management — find emerging issues before they reach customers, revenue or network performance.
Move from reactive operations to predictive management
smoc.cloud leverages artificial intelligence, machine learning and advanced analytics to identify emerging issues before they impact customers, revenue or network performance.
By continuously analysing meter behaviour, communication performance, network topology, consumption patterns, service events, voltage quality and asset health indicators, the platform predicts failures and operational degradation before they become critical incidents — enabling utilities to focus resources where intervention delivers the greatest operational value.
AI use cases
Prediction and detection models that run on the correlated timeline and the semantic information model beneath them.
Meter asset failure forecasting
Model device behaviour and service history to forecast which meters fail next.
Business outcomes
What predictive operation changes for the utility, not only for the platform.
01Reduced truck rolls
measuringIntervene remotely where prediction shows no site visit is required.
02Lower maintenance costs
measuringReplace and repair on condition rather than on failure or on the calendar.
03Improved customer service
measuringFewer missed reads, fewer failed appointments, fewer unexplained interruptions.
04Increased network resilience
measuringDegradation is addressed while it is still degradation.
05Better asset utilisation
measuringExtend the life of healthy assets and retire the genuinely failing ones.
06More accurate operational planning
measuringWorkload, spares and rollout plans built on predicted rather than historical demand.
Stop reacting to failures. Start preventing them.
Prediction is only as good as the evidence underneath it. Every device is resolved to one identity, every event is placed on one ordered timeline, and every measurement means the same thing across vendors before a model is applied to it.
Prediction starts with correlation
A model can only be as good as the evidence it runs on. The correlation engine puts every meter, network, head-end and enterprise event on one ordered timeline before any analytics are applied.
See your estate in smoc.cloud.
A demo walks through your utility types, your vendors and your compliance obligations — not a generic slide deck.