Book a Demo

DMA Analytics and Non Revenue Water Optimization Solution

Water utilities need clearer visibility into where losses occur, how they change over time, and which zones require action first. Scry AI’s DMA Analytics and Non Revenue Water Optimization Solution helps utilities monitor district metered areas, detect loss patterns, and support targeted non revenue water reduction and control across complex distribution networks.

Book a Demo
Investment Analytics Software Built for Real-Time Investment Intelligence

The Reality of Water Loss Management in Utility Networks

Non-Revenue Water, or NRW, is rarely caused by a single failure point. In large utility networks, losses build up across leakages, unauthorized usage, meter inaccuracies, pressure variations, aging assets, and gaps between operational and billing data.

The real challenge is knowing where to act first. Without reliable DMA-level visibility, utilities often see total losses but lack the zone-wise intelligence needed to detect changing patterns, separate technical losses from commercial losses, and prioritize interventions with confidence.

How Non Revenue Water Workflows Still Operate Today

Many utilities still manage water losses through periodic reviews, disconnected systems, and manual zone analysis. This creates delays between loss occurrence, detection, and field intervention.

1
Manual Zone Analysis
Teams assess water losses periodically using aggregated data, making it harder to track loss changes across individual DMAs.
2
Limited DMA Visibility
Utilities often lack real-time tracking of inflow, outflow, and consumption patterns across distribution zones.
3
Reactive Leak Identification
Leak-prone areas are usually identified after visible pressure issues, customer complaints, or significant water loss has already occurred.
4
Disconnected Data Sources
Meter data, sensor readings, billing information, and network data are often stored in separate systems, limiting a unified view of performance.
5
Inefficient Resource Allocation
Maintenance teams may not have enough reliable insight to prioritize the highest-loss zones first.

Scry AI’s DMA Analytics and Non Revenue Water Optimization® Solution

Scry AI’s DMA Analytics and Non Revenue Water Optimization® Solution, built on Concentio®, gives utilities a smarter way to monitor and manage water losses at the zone level.

It combines DMA analytics, real-time network monitoring, anomaly detection, and intervention prioritization so teams can identify high-loss areas faster, compare zone performance, and act where the impact is highest.

  • DMA-Level Loss Analytics

    Tracks water balance, inflow, outflow, and consumption across district metered areas to support more precise dma analytics.

  • Real-Time Network Monitoring

    Continuously monitors zone-level distribution patterns so teams can detect changes faster and reduce dependence on periodic reviews.

  • Anomaly Detection

    Identifies abnormal usage, pressure, or flow patterns that may indicate leakage, unauthorized consumption, or operational inefficiency.

  • Zone-Based Benchmarking

    Compares performance across DMAs to identify high-loss zones, inefficient areas, and improvement opportunities.

  • Integrated Utility Data Layer

    Unifies data from smart meters, sensors, billing systems, and network infrastructure to create a connected view of distribution performance.

  • Actionable Intervention Insights

    Prioritizes zones for inspection, maintenance, and leakage control based on actual loss patterns and operational urgency.

Clients

We are trusted by enterprises globally.

Expert 1 Expert 2 Expert 3 Expert 4 Expert 5 Expert 6 Expert 7

Turn Water Loss Management into a Data-Driven Utility Workflow

Use DMA-level intelligence to reduce NRW, prioritize interventions, and improve distribution efficiency.

Book a Demo

Insightful Resources

Discover how SCRY AI solutions bring accuracy and innovation in document processing, conversational AI, and IoT operations.

AI Academy
Earn industry-recognized AI certifications through practitioner-led courses focused on real enterprise workflows.
Blogs
Stay up to date with expert-led AI insights, research, and industry trends to maximize your business performance.
Use Cases
See how organizations implement Scry AI to overcome system constraints, operational pain points, & automation gaps.
Videos
Watch videos that explain how Scry AI products work, their features, & benefits through interactive visual guides.

FAQs

What is a DMA analytics and non revenue water optimization solution?

It is a utility analytics solution that monitors district metered areas, tracks water balance, identifies abnormal loss patterns, and helps utilities prioritize actions for reducing Non-Revenue Water.

Scry AI supports non revenue water reduction and control by combining DMA-level analytics, real-time monitoring, anomaly detection, and zone-based benchmarking. This helps utilities identify where losses are occurring and act on the highest-priority zones first.

The solution can unify data from smart meters, sensors, inflow and outflow records, consumption systems, billing platforms, and network infrastructure systems.

It helps detect abnormal usage, flow, or consumption patterns that may indicate leakage. Utilities can use these insights to identify leak-prone zones faster and plan field interventions more effectively.

DMA-level visibility helps utilities move from broad loss estimates to zone-specific insight. This makes it easier to compare performance, prioritize maintenance, and measure the impact of NRW reduction efforts.