Increase in Equipment Uptime
Reduction in Maintenance Costs
Faster Anomaly Detection
Discrete Manufacturing
1 year
Germany
5
A high-tech manufacturing firm operating across the DACH region, the client specializes in producing complex industrial equipment used in automotive and energy sectors. With large-scale facilities and mission-critical operations, they required a more proactive approach to equipment maintenance to minimize downtime and optimize resource usage.
The client faced increasing operational challenges:
To maintain competitiveness and ensure smooth operations, they sought a solution that could harness their data for predictive, rather than reactive, maintenance.
Intertec partnered with the client to design and implement a predictive maintenance system using Microsoft Azure’s cloud and AI capabilities.
Key Implementation Highlights:
The Challenge
With highly interconnected equipment and scattered data, the manufacturer struggled to identify early signs of failure. The lack of real-time monitoring led to high maintenance costs, productivity losses, and safety concerns.
The Result
By integrating Azure’s AI ecosystem, Intertec enabled the client to predict failures before they occurred. The system now alerts technicians in advance, optimizes repair schedules, and provides decision-makers with live operational insights.
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