A leading utility provider operating across electricity, water, and gas distribution in South Asia faced growing pressure to modernize its operational intelligence systems.
With over 40 million customers and infrastructure spanning thousands of kilometers, the organization struggled to manage real-time data, optimize field operations, and respond proactively to outages and inefficiencies.
The client’s legacy systems were siloed, reactive, and heavily reliant on manual reporting. Operational decisions were often delayed due to fragmented data sources, lack of predictive insights, and limited visibility into asset performance. As regulatory mandates tightened and customer expectations rose, the need for a unified, intelligent dashboard system became urgent.
1. Fragmented Data Ecosystem: Operational data was scattered across SCADA systems, ERP platforms, field service logs, and IoT sensors—making it difficult to generate a unified view of performance.
2. Reactive Decision-Making: Outages, leakages, and service disruptions were often addressed after customer complaints, rather than through predictive alerts or automated workflows.
3. Limited Field Visibility: Supervisors lacked real-time insights into field crew locations, task progress, and asset conditions—leading to inefficiencies and delays.
Ingested structured and unstructured data from SCADA, ERP, GIS, IoT sensors, and mobile apps.
Designed a modular, containerized infrastructure using Kubernetes and serverless functions to support dynamic AI workloads.
Designed custom dashboards for operations managers, field supervisors, sustainability officers, and CXOs.
Built interactive dashboards using modern BI tools integrated with GenAI-powered insights.
The solution was designed to transform raw operational data into actionable intelligence through real-time dashboards and predictive analytics.
Key highlights include:
1. AI-Powered Predictive Insights: Machine learning models for outage prediction, anomaly detection, and asset health scoring.
2. Mobile Enablement: Mobile-friendly dashboards for field crews with GPS tracking and task updates.
3. Sustainability Metrics: Embedded ESG indicators such as carbon footprint, water usage, and energy efficiency.
4. Role-Based Dashboards: Custom dashboards for operations managers, field supervisors, sustainability officers, and CXOs.
The AI-driven dashboard platform delivered transformative impact across operational efficiency, customer service, and strategic planning.
1. Real-Time Operational Visibility: Enabled live monitoring of grid performance, water pressure, and gas flow across regions.
2. Predictive Maintenance and Outage Prevention: Reduced unplanned outages by 30% through predictive alerts.
3. Field Workforce Optimization: Increased task completion rates by 40% through mobile dashboard access
4. Automated Reporting and Compliance: Cut reporting time by 80% with auto-generated dashboards for regulators
DeltaDot AI ensured that the platform adhered to enterprise-grade governance, security, and compliance standards, enabling safe and scalable adoption.
1. Data Privacy and Security: End-to-end encryption for all operational data streams.
2. Compliance Automation: Automated generation of regulatory reports for energy, water, and environmental authorities.
3. Risk Mitigation: Real-time anomaly alerts for operational risks such as outages or leakages.
4. Global Regulatory Alignment: Designed to comply with ISO 27001, GDPR, and regional utility regulations
AI-driven dashboards are redefining operational intelligence for utilities by transforming raw data into actionable insights.
DeltaDot AI’s solutions enable real-time monitoring, predictive analytics, and intuitive visualization—helping enterprises shift from reactive operations to proactive, data-driven strategies.
This case study illustrates the complete journey of transforming operational intelligence in utilities through AI-driven dashboards from identifying fragmented data challenges to implementing predictive analytics and real-time insights.
