Case Study
Cloud based telematics solution harnesses real-time data insights from 200K+ trucks for commercial fleet optimization
OUR CLIENT
This company is a leading player in the commercial vehicle industry, recognized for producing a diverse range of trucks and buses that meet various market demands. It boasts a strong reputation for innovation and quality, consistently delivering reliable, fuel-efficient vehicles. The result of a successful collaboration between two globally recognized entities, the company combines advanced engineering with deep industry expertise. The organization places significant emphasis on customer service, especially after the sale through a robust network of service centers. Its products are widely used in domestic and international markets, solidifying its strong brand presence and leadership in modernizing commercial transportation.
THE CHALLENGE
Critical scalability issues—Inability to process real-time telematics data from an expanding truck fleet restricts growth and drives up costs
The client struggled to scale its connected vehicle platform to manage the influx of telematics data from more than 200,000 trucks. Initially designed for just 35,000 vehicles, the system could not process data in real time, resulting in performance issues, delayed responses to critical events, and frequent system failures. This lack of scalability led to costly downtime, higher maintenance expenses, and stunted growth.
Without real-time insights, the platform hindered data-driven decision-making and prevented the implementation of predictive maintenance and fleet optimization. Additionally, the absence of a robust data analytics solution limited the client’s ability to monetize data. To remain competitive in a data-driven market, the client needed a cloud-based solution to improve data processing and enable predictive analytics.
THE TRANSFORMATION
Cloud-based telematics platform boosts real-time data processing, enhances analytics, and supports scalability for efficient fleet management
UST delivered a cloud-based telematics platform upgrade for the client’s fleet management system, designed to integrate seamlessly with the existing IT infrastructure. The solution featured advanced data ingestion capabilities that effectively processed large-scale telematics data from the client’s fleet of trucks, ensuring real-time data processing and analytics. Key functionalities included incorporating late-arriving data for up to seven days, enabling continuous monitoring and real-time updates of critical key performance indicators (KPIs).
As a result, the client can now efficiently analyze real-time data, even late-arriving data, enabling improved data-driven decision-making in fleet operations. Integrating machine learning models for anomaly detection and predictive maintenance boosts operational efficiency and customer satisfaction by proactively identifying potential issues before they escalate. This upgraded platform supports scalability as the fleet expands and unlocks new opportunities for data monetization, positioning the client as a leader in the commercial vehicle industry.
THE IMPACT
Telematics platform upgrade drives revenue growth, improves operational efficiency, and enables data monetization through enhanced real-time insights and analytics
UST's cloud-based solution enhanced fleet management performance, operational efficiency, and customer satisfaction through:
- Expanded revenue potential—Allowed the client to tap into a larger fleet size and increase revenue streams by scaling the connected vehicle platform to support more than 200,000 trucks
- Enhanced data ingestion capabilities—Achieved a robust ingestion rate of three payloads per five seconds per truck, enabling efficient real-time management of vast volumes of telematics data
- In-depth performance insights—Can calculate over 80 KPIs, including 20 primary and 60+ derived KPIs, empowering the client to make informed, data-driven decisions
- Dynamic operational adjustments—Enabled live-rule editing and deployment features, allowing the client to swiftly adjust parameters in response to changing conditions
- Proactive issue detection—Implemented real-time statistical anomaly detection, significantly improving the system's ability to identify and address potential issues before they escalate
- Optimized data monetization—Can detect fuel pilferage through a machine learning-based prediction algorithm, reducing losses and improving operational efficiency
- Accurate fault analysis—Enhanced fault-root-cause analysis through temporal data stitching, minimizing downtime, and lowering maintenance costs
Discover how UST’s Connected Services Platform can enhance operational efficiency, improve decision-making, and unlock new revenue streams. Embrace the future of fleet management with scalable, real-time solutions that position you for success in the commercial vehicle industry.