Vehicle-As-Service Model Drives 80% Reduction in Vehicle Downtime for Swedish Automotive Major

Client

The client is a leading Swedish manufacturer of commercial vehicles and diesel engines for heavy vehicles, marine, and other industrial applications.

Challenges

• Capturing and turning vehicle data into information insights and actions for the service network. 
• Need for better uptime and reduction of Vehicle off Road (VOR) instances.
• Lack of real-time feedback and visibility to the end customer.

LTM Solution

• Developed a real-time remote vehicle prognostics system that enables the drivers to report specific defects, along with the vehicle specifications that the system automatically collects. 
• Analysis of the fleet performance and driver behavior, based on equipment utilization and diagnostics data, to provide specific insights/action items to improve operational efficiencies.
• Developed a configurable, rule-based, deviation detection engine (customizable for region and vehicle diversities) to alert fleet monitoring stakeholders, providing them action plans based on severity of the detected deviations. 
• Provides complete visibility on the vehicle performance to the fleet manager and service workshop, enabling proactive customer support for repair and maintenance activities, significantly reducing expensive roadside breakdowns.

 Business Benefits

• 80% reduction in vehicle downtime. 
• 170K connected vehicles monitored across the globe with SOOK exceptions and diagnostic events processed per day. 
• 50% reduction in MTTR.