Predictive maintenance & optimization

Proactively maintained assets and optimized energy consumption for reduced downtime, lower costs, and improved operational efficiency

The challenge

A global industrial manufacturer faced frequent equipment breakdowns and rising energy costs across multiple plants. Unplanned downtime disrupted production, while lack of visibility into energy consumption inflated operational expenses.

The solution

We deployed predictive maintenance models using IoT and historical failure data, combined with energy consumption analytics across sites. The solution enabled proactive scheduling, reduced equipment failure risk, and identified efficiency opportunities in energy-intensive processes.

Measured impact

25%

Reduction in unplanned downtime,

18%

Decrease in YoY plant-level energy consumption,

$12M

Annual savings from reduced downtime