Field Service + Maintenance

EVOCRM+

Planned repairs, lower costs

With automated systems, intelligent IoT sensors track key machine parameters—wear, temperature, noise, vibration—and detect anomalies long before failure occurs. Maintenance can then be scheduled proactively, outside of working hours, preventing costly downtime and unexpected breakdowns.

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Automated monitoring for reliable, cost-effective operations

The old “fix it when it breaks” approach is no longer viable. Preventive maintenance saves time, reduces costs, and makes operations safer.

According to McKinsey, companies implementing automated preventive maintenance can cut repair costs by up to 40% while increasing overall reliability.

Scheduled Maintenance

The system supports pre-planned maintenance, automatically notifying subcontractors and providing full task details via the mobile app. This reduces unexpected breakdowns and ensures safer operations.

Reactive Maintenance

When IoT sensors or real-time asset data detect anomalies, the system instantly alerts technicians or subcontractors to start repairs. This minimizes downtime and speeds up resolution.

Predictive Maintenance

Using machine learning and IoT, the system forecasts potential failures, creates tasks automatically, and assigns them to the right technician. Result: fewer outages, higher uptime, and better resource utilization.

Inventory & Resource Management

A centralized database shows, in real time, which parts and tools are available. Technicians and subcontractors know exactly what’s in stock, avoiding delays caused by missing components.

Automated Processes

If the system detects an issue, it automatically generates new tasks or reorganizes existing ones—factoring in available technicians and spare parts. This keeps schedules flexible and operations smooth.

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The key benefits of automated maintenance

Less downtime
In large factories, even one unexpected machine failure can cause major losses in production, urgent repair costs, and delivery delays. Preventive automation can reduce unplanned downtime by up to 50% (McKinsey).

Lower costs
Traditional maintenance often leads to unnecessary expenses. IoT-driven data shows exactly when intervention is needed—resulting in up to 40% cost savings.

Longer equipment lifespan
Continuous monitoring and preventive interventions reduce wear and tear. Equipment lifetime can increase by up to 20%, extending the return on capital investments.

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Automated preventive maintenance in action:

Machine overheating?

The system auto-generates a maintenance task, notifies technicians, and schedules resources.

Unclear when service is due?

Predictive algorithms calculate failure probability, schedule intervention, notify the right expert, and provide tool lists and instructions—preventing downtime.

Missing a spare part?

The system checks inventory, suggests alternatives, or reschedules tasks based on availability.

Unexpected fault?

The system alerts the right staff instantly, providing full details – including spare parts, workflows, and repair steps – accessible via mobile.

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Curious how preventive maintenance makes field operations faster and more profitable?

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