Condition Monitoring for Equipment Health Optimization
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Headquarters
- UAE
Business Size
- Enterprise
Industry
- Heavy Equipment, Construction, Energy
Technologies
The Client
The company is an exclusive dealer for heavy machinery in the Middle East. They recognized the need to change their service model. As customers prioritized equipment uptime, the company aimed to monitor critical machine parameters and reduce unplanned breakdowns. Their goal was to create a condition monitoring platform that integrated IIoT, analytics, and CRM.
Challenges Faced
The client faced significant challenges in delivering predictive maintenance and real-time equipment insights.
- There were no real-time alerts for abnormal equipment behavior.
- They relied on manual maintenance scheduling and tracking.
- Data was siloed between sensors, service systems, and CRM.
- Field technicians had limited visibility into asset health.
- There was no centralized dashboard for performance trends.
- The company could not alert customers and teams instantly.
- Reactive servicing and breakdowns led to high costs.
- IIoT feeds did not integrate with InforCRM.
- They missed preventive service windows due to poor tracking.
- There was no customer self-service option for fleet monitoring.
Ambit’s Solution
Ambit implemented a smart, IIoT-driven condition monitoring system that tightly integrated with InforCRM.
- Captured live data from on-field equipment using OPC integration.
- Set alert thresholds and used a rule engine to trigger actions in CRM.
- Service cases were automatically created in InforCRM when anomalies were detected.
- Power BI dashboards displayed multi-asset health and trends.
- Real-time SMS and email alerts went to service personnel and clients.
- They provided a self-service web portal for an overview of customer fleets.
- Predictive analytics helped with maintenance planning.
- Data access was secured through user roles and audit controls.
- They offered mobile-responsive views for on-site teams.
- The architecture was cloud-based with high uptime.
Results Achieved
- The solution helped the company excel in data-driven service delivery.
- They saw a 30% decrease in equipment breakdowns over six months.
- Service engineer efficiency improved by 20%.
- Customer satisfaction increased due to greater transparency.
- Maintenance turnaround times improved thanks to automated workflows.
- The company distinguished itself as an innovator in equipment services.
Conclusion
Ambit’s IIoT platform enabled the company to shift from reactive to predictive service management. This strengthened their leadership in the Middle East heavy machinery market.