Utilities face the challenge of modernizing metering infrastructures built on fragmented, manual and often outdated systems. 

Traditional approaches based on on-site meter reading and costly field operations create inefficiencies, data gaps and rising operational costs. 

Whether deploying new smart metering networks or upgrading existing ones, utilities need scalable and secure solutions that enable remote management, simplify updates and strengthen protection against data tampering and non-technical losses.

Utilities are under pressure to manage complex metering operations, often with limited internal resources and growing performance expectations. 

Specialized skills are needed to handle daily activities such as device maintenance, firmware updates, data validation and field interventions. 

To ensure efficiency and meet service-level targets, utilities increasingly need the support of digital tools and service-based models that simplify operations, optimize resource allocation and improve overall performance.

Utilities today operate low-voltage networks with limited or no real-time visibility. As renewable generation, electric vehicles and flexibility services grow, managing bidirectional energy flows and maintaining network stability become increasingly complex.

Relying on customer reports to detect outages is no longer sustainable. Clear, real-time visibility and remote control of the low-voltage grid are essential to quickly detect and locate faults, optimize network performance, reduce losses and deliver reliable, high-quality service to end users.

As distributed generation and new loads increase network dynamics, medium-voltage grids are becoming more complex and harder to manage.

Severe weather events further stress aging infrastructure, causing more frequent faults and outages.

Utilities need faster and more adaptive control to detect and isolate faults, restore service automatically, and maintain protection and power quality under any condition.

At the same time, growing exposure to cyber threats requires enhanced resilience and robust protection of critical assets.

Utilities collect vast amounts of data from meters and grid devices, yet much of it remains unused or siloed across systems.

Limited analytical capabilities make it difficult to forecast demand, identify consumption patterns or optimize network operations.

Without a clear, data-driven view, planning becomes reactive and operational efficiency suffers, preventing utilities from turning valuable information into smarter grid decisions.