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Enhancing Fleet Efficiency
with AI-Driven Automation
for Vehicle Maintenance
​and Management

Picture

The Client


The client is a well-established commercial vehicle rental company based in Singapore, specializing in providing flexible and cost-effective rental solutions for businesses across logistics, construction, and transportation sectors. The company operates a fleet of over 500 vehicles, including vans, trucks, and lorries, serving a diverse customer base ranging from small enterprises to large corporations.

​With a commitment to service excellence, the client aims to optimize its fleet management and maintenance operations to reduce costs, improve fleet availability, and enhance overall efficiency. Faced with increasing demand for vehicle rental services, the company sought to automate key aspects of their operations to scale their services effectively while maintaining high standards of quality and service delivery.

How RIC Helped


Grant Secured:

RIC assisted the client in securing the Enterprise Development Grant (EDG) for the implementation of automated fleet management and maintenance systems. The SG$350,000 grant covered up to 50% of the costs associated with the integration of automated diagnostic systems, vehicle tracking, and predictive maintenance technologies.

Scope of RIC’s Consulting and Advisory Services:

RIC scoped and prepared the full project proposal, incorporating:
  • Grant Secured: RIC facilitated the client’s successful application for the EDG, ensuring SG$350,000 in funding for the automation of their fleet management operations.
  • Needs Analysis and Automation Design: RIC performed a thorough analysis of existing fleet management and maintenance processes, identifying opportunities for automation in areas such as vehicle diagnostics, maintenance scheduling, and fleet tracking.
  • Technology Evaluation and Integration: We assisted in the selection and implementation of automated fleet management software, integrated with real-time vehicle tracking, AI-powered predictive maintenance, and automated scheduling systems for improved fleet performance and reduced downtime.
  • Training and Support: RIC provided training to key staff members on the operation of the new systems, ensuring seamless integration with the company’s existing workflows and helping them adapt to the new automated processes.

Outcomes


  • Improved Operational Efficiency: The implementation of automation in fleet maintenance and management led to a 30% reduction in downtime, improving fleet availability and reducing costs associated with manual maintenance and repairs.
  • Cost Savings: The predictive maintenance system reduced unexpected maintenance costs by 40%, while automated scheduling optimized labor costs by reducing technician inefficiencies.
  • Enhanced Fleet Utilization: Automated fleet tracking allowed for real-time monitoring, enabling the company to optimize vehicle usage and improve fleet turnover by 15%.
  • Scalability: With the automated systems in place, the client is now well-positioned to scale operations and manage a growing fleet of vehicles across multiple sectors without compromising service quality.
  • Increased Customer Satisfaction: The automation allowed the company to offer faster service and improved reliability, enhancing customer satisfaction and positioning them as a competitive player in the commercial vehicle rental market.

Throughout this journey, RIC worked hand-in-hand with the client, ensuring the project was not only fundable but also executable and aligned with long-term business goals. Our ability to understand both the science and the strategic roadmap of the client’s innovation was instrumental in delivering success.
​
This case exemplifies how RIC enables high-potential industrial innovators to bridge the gap between operational efficiency and technological advancement. Our end-to-end consulting, grant expertise, and technical fluency make us the ideal partner for firms looking to turn automation investments into scalable, globally competitive solutions.

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