UTILITIES CASE STUDIES

Electricity Grid Maintenance Process Optimization 

6-12 months | Large Enterprise

Problem:

A large electricity grid company sought to optimize its field maintenance operations end to end, spanning procurement, warehouse management, field work management, and asset management.

Action:

Served as partner responsible for managing the project in distinct phases:
(1) analysis of current-state (As-Is) processes;
(2) review of industry best practices and identification of gaps;
(3) development of a long list of optimization initiatives with high-level assessment of potential benefits, costs, and implementation effort;
(4) prioritization and shortlisting of initiatives supported by detailed financial analysis;
(5) development of the overall implementation roadmap; and
(6) implementation support for selected high-priority initiatives.



 

Result: 

(1) a detailed implementation plan comprising more than 25 initiatives to optimize maintenance operations, with an estimated total savings potential of approximately 18%;
(2) realized savings of approximately 6% by the end of the first year of implementation; and
(3) realized savings of approximately 11% by the end of the second year of implementation.

AI and Data Analytics driven maintenance process optimization  

0-6 months | Large Enterprise

Problem:

A large electricity utility company initiated the deployment of advanced AI and data technologies to improve field maintenance operations. The solution leveraged proprietary know-how provided by a local technology startup.

All field workers were equipped with specialized sensors (accelerometers) that captured and monitored movement patterns throughout the workday. AI-based software analyzed this data to model the efficiency of individual workers and teams, distinguishing productive activities from non-productive time and identifying opportunities for operational improvement.

Action:

Served as project delivery partner responsible for solution design, testing, and rollout.

The solution was initially piloted with two field-worker teams, clearly demonstrating actionable levers to improve day-to-day operational efficiency.

Following the successful pilot, the solution was rolled out across the entire maintenance organization, covering approximately 1,200 field technicians.



 

Result: 

The process redesign helped to reduce the headcount by ~150 FTE.

New Product Strategy for an Electricity Distribution Company 

0-6 months | Large Enterprise

Problem:

An electricity distribution company developed a strategy for non-core products to diversify its revenue sources.

Action:

Served as consulting partner on the engagement, which included a comprehensive market assessment of up to 20 potential non-core products, including smart meters with smart-home functionality, fintech payment services, residential EV charging solutions, and bundled products and services linked to electricity provision.

Each product was evaluated against a structured set of qualitative and quantitative criteria and prioritized based on revenue potential and implementation cost.

Result: 

The resulting strategy identified seven priority products and services expected to account for up to 20% of company revenue over a five-year horizon.

0-6 months | Large Enterprise

Regional Electricity Consumption Forecast (2020-2030)  

Problem:

A state authority required a ten-year electricity demand forecast to support planning of future generation capacity.

Action:

Served as consulting partner responsible for the engagement. The approach involved analyzing electricity demand in each region based on multiple drivers, including household growth, growth of small and medium-sized businesses, expansion of enterprise customers, and development plans of large electricity consumers such as manufacturing facilities.

The analysis was conducted on a regional and territorial basis. The resulting demand model included three forecast scenarios, with key assumptions validated by external experts.

Result: 

The base-case forecast was approved and used to plan future generation capacity.

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