Plasma Brings Advanced Technologies to Fleet Management

Plasma’s Fleet Management solution provides distinct capabilities and operational benefits to companies looking to optimize the performance, reliability,...

Dallas, Texas – October 2, 2024

 

By combining the power of AIoT (artificial intelligence of things) and AI-enabled predictive analytics, Plasma offers a Fleet Management solution that powers a transition from preventive to predictive vehicle maintenance, enabling more dynamic and cost-effective management of fleet vehicles.

 

Keeping vehicles in optimum operating condition is critical for any company that manages a large fleet of vehicles. Historically, a significant percentage of overall operational costs have been tied to vehicle maintenance. To keep their fleets in good condition, most companies have relied on time-based maintenance schedules. While those routines do utilize some degree of statistical analysis, they are, by design, static and rigid. Those limitations can create inefficiencies in resource utilization and non-optimal timing of vehicle maintenance.

 

Plasma’s Fleet Management solution provides distinct capabilities and operational benefits to companies looking to optimize the performance, reliability, and cost of their vehicles. A sampling of those capabilities and benefits include:

Leveraging AI-enabled telematic control unit (TCU) data:

AI models trained and embedded at the vehicle TCU/sensor/device endpoint

Creation of predictive insights into vehicle health and performance

Automated processing and routing of maintenance alerts to designated recipients

Reliable, cost-effective, vehicle connectivity:

Vehicle sensor data processed locally providing rapid insights into real-time conditions

Minimized reliance on cloud infrastructure reduces cost and improves reliability

Predictive maintenance technology that can be scaled across an entire fleet of vehicles (regardless of size)

Fleet Management

Driver safety:

Promotes vehicle and driver safety via real-time monitoring of the health and performance of critical vehicle components.

Enhanced visualization:

Ability to connect data for an entire fleet of vehicles onto single-pane-of-glass visualization tools.

Increased vehicle lifespan:

AI-enabled predictive maintenance can significantly increase the service-life of fleet vehicles.

Reduced operational costs:

Overall reduction in the cost of fleet maintenance combined with increased availability and longer lifespans produces better bottom-line results.