How to Maintain Your Fleet’s Health in Times of Crisis

Use Case


The longer a vehicle sits unused, the greater the risk of permanent damage or of an excessive repair bill. The dilemma for fleet stakeholders then becomes one of prioritizing which vehicles are in immediate need of movement or maintenance and which vehicle components need prompt attention. Data-driven predictive maintenance allows one to handle issues before they occur, thus maintaining the health of a vehicle even while idle and reducing vehicle back-to-service costs by predicting failure.

This use case will take a deeper look at how Upstream AutoHealth’s predictive maintenance and data analytic capabilities can be used by rental and car-sharing fleet stakeholders as methods for smarter fleet health management, especially in times of crisis.


Download the use case