Case Studies

AI-powered Fleet Management Transformation: Safer Roads, Lower Costs

Optimizing fleet management with AI-driven insights

A global telematics provider needed to modernize its fleet management system. Legacy infrastructure, fragmented data, and inefficient safety programs led to high operational costs and increased risk. GlobalLogic implemented an AI-powered data platform, enabling predictive maintenance, driver behavior monitoring, and compliance- driven data governance. As a result, the company reduced claims costs by 80%, improved PII data protection accuracy to 95%+, and enhanced operational efficiency with AI-powered analytics.

Challenge

A leading telematics provider serving over 5,500 organizations worldwide faced critical challenges in scaling its fleet management platform. Fragmented and inconsistent data from internal and external sources limited the company’s ability to deliver actionable insights and address customer preferences.

On-premise systems restricted the scalability of driver safety programs and slowed risk mitigation, while outdated legacy applications struggled to meet growing performance and compliance demands. The lack of advanced data governance also posed privacy risks and impacted decision-making accuracy. The company sought a scalable AI-driven solution to enhance safety, improve operational efficiency, and strengthen data privacy and compliance.

Value Created

GlobalLogic designed and implemented an AI-powered fleet management platform that transformed the client’s telematics ecosystem. The solution integrated multiple data sources into a cloud-native platform, enabling real-time insights and predictive analytics for fleet maintenance, asset tracking, and driver behavior monitoring.

AI-driven models processed dashcam feeds to detect risky behaviors such as distracted driving and seatbelt violations, supporting real-time coaching and reducing collisions. To ensure data security and privacy, GlobalLogic deployed advanced data anonymization techniques with over 95% accuracy and sub- 100ms inference times while adhering to ISO 27001 and NIST 800-53 standards.

Impact

GlobalLogic’s AI-powered fleet management solution delivered measurable business impact, improving safety, efficiency, and compliance:

  • 80% reduction in claims costs by using AI-driven driver coaching and behavior monitoring to minimize risky driving incidents.
  • 95%+ accuracy in visual data protection, ensuring compliance with ISO 27001 and NIST 800-53 through AI-powered anonymization of faces and license plates with sub-100ms inference times.
  • Increased operational efficiency with predictive maintenance and asset tracking, reducing fleet maintenance costs and maximizing asset utilization.
  • Improved fleet safety programs with real-time AI-based driver alerts, leading to a substantial drop in collisions and lower insurance costs.
  • Enhanced data-driven decision- making with a unified cloud-native data platform, integrating real-time fleet tracking, telematics, and NOAA weather data for better route optimization and hazard alerts.
  • Improved compliance and governance, automating regulatory adherence to DOT and ELD mandates while supporting CSA score upgrades for better risk management.

Integrating AI, predictive analytics, and cloud- based automation drove faster decision- making, lower costs, and stronger compliance for this client, delivering safer, more efficient fleet operations at scale.

GlobalLogic’s AI-powered telematics solution accelerated the client’s journey toward becoming an Intelligent Enterprise— claims costs, enhancing fleet safety, and optimizing operational efficiency with real-time AI-driven insights.

$1.7B
in claims cost savings in 2023 due to AI- enabled risk mitigation
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