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How AI-Powered Decision Intelligence Reduced Power Outages by 50%

Leading electricity generation company boosts power generation efficiency while reducing operational costs and outages with an AI-powered decision intelligence engine.

Industry: Energy & Utilities

50%

reduction in power outages

100%

automation of manual processes

Challenge

One of Asia’s largest electricity generation companies faced a pressing need for efficiency. With nearly 70% of its distribution costs wrapped up in power purchasing and generation, the stakes were high. Sticking to outdated forecasting methods was no longer an option.

Traditional approaches left the company vulnerable:

  • Demand forecasting inaccuracies led to mismatches between generation and consumption.
  • Slow decision-making couldn’t keep pace with the dynamic energy market.
  • Siloed systems created blind spots, fueling inefficiencies and financial strain.

Looking for a bold transformation, the client sought to shift from reactive processes to an intelligent system that prioritized precision, speed, and resilience.

Solution

Concentrix partnered with the client to create an AI-powered decision intelligence system—a dynamic platform designed to unify fragmented data, leverage advanced analytics, and automate real-time decisions. Our approach revolved around four strategic pillars:

Data Foundation

  • Consolidated diverse data sources into a single, accessible hub.
  • Employed statistical methods for data cleansing and preparation.
  • Generated insights to establish a baseline performance view.

Intelligence Layer

  • Developed models that account for market variables and operational constraints.
  • Used predictive analytics to accurately forecast demand and price shifts.
  • Proposed optimized procurement strategies aligned with live market conditions.

Business Logic & Validation

  • Deployed tools to flag data anomalies and missing information.
  • Implemented custom rules to ensure data integrity.
  • Guaranteed outputs were both statistically valid and operationally relevant.

Action & Automation

  • Designed a decision engine to automate complex, time-sensitive choices.
  • Facilitated real-time recommendations through web dashboards and alerts.
  • Built an autonomous simulation engine for scenario testing and strategy validation.

By incorporating essential variables, the system established a robust foundation for smarter, faster energy management. This integration created a cohesive power optimization framework:

  • Unified data view: Real-time capture of demand and generation metrics mapped against market cost structures.
  • Predictive analytics: Agile adjustments to procurement strategies in response to market dynamics.
  • Automation at scale: Allowed operators to shift focus from tactical to strategic energy management.
  • Continuous refinement: Iteratively tested and optimized for accuracy and stability.

By incorporating essential variables, the system established a robust foundation for smarter, faster energy management.

Outcomes

The implemented solution drove remarkable results, significantly reshaping the operational landscape for the client:

50% reduction in power outages: Automated decision-making yielded substantial improvements in uptime and performance.

Real-time optimization: Rapid adaptability to market price changes led to aligned procurement strategies, realizing considerable cost savings.

100% automation achieved: Eliminated manual errors, enhancing overall reliability in power management.

Market driven smart decisions: Real-time optimization in response to market price changes.

The application of decision intelligence not only transformed the client’s operations, but also set a new standard for sustainability and digital transformation in the sector.

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