Uptake has added several new capabilities to its predictive maintenance platform Uptake Fleet. Leading the additions is an expanded feature that enables users to predict vehicle failures down to the component level for more detailed and accurate decision-making.
Also included in Uptake Fleet’s enhancements is support for a number of popular sensor analytics endpoints. Through the addition of a new application programming interface and electrical system rating connectors, fleets can leverage data from these endpoints to optimize their maintenance scheduling and further reduce vehicle breakdowns.
Work Order Analytics
With its new capabilities, Uptake Fleet’s Work Order Analytics allows users to move beyond time and odometer-based measurements for their maintenance decision-making. Using up to ten years of existing internal work order data, the tool provides component-level survival curves that indicate where a truck's assets are in the equipment lifecycle, as well as aggregate and individual unit component analytics. It also filters by data fields, allowing users to assess both enterprise-level and vehicle-specific performance.
In its new configuration, Uptake Fleet users can set survival curve thresholds for specific vehicle components. When these thresholds are crossed, Uptake Fleet will create an alert that influences the truck’s risk score and flags the potential for component failure. As a result, users are able to plan more accurately for replacements and prepare stock accordingly, Uptake officials said in a press release.
Uptake Fleet’s new sensor analytics capabilities support outputs from the Geotab ESR module, giving users of the popular Geotab tracking platform a new way to generate electrical systems insights that can prevent roadside failures. Using Geotab’s ESR “score,” Uptake Fleet can establish performance thresholds for insights on the health of alternators, batteries and other critical system components.
Through its enhanced support for a wide range of connector APIs, Uptake Fleet now ingests and analyzes a wider range of fault data. Users can leverage this additional information to expand their level and quality of insights to increase vehicle uptime, minimize maintenance disruptions and improve fleet productivity.