Improving Fleet Management Strategy and Operational Intelligence with Predictive Analytics

Abstract

The fleet management industry is comprised of fleet management providers that help ensure an organization’s vehicles remain on the road supporting core business functions efficiently, safely, and at the lowest total operating cost. Recent technology advancements in the data analysis space coupled with enriched data domain have made it possible for analytics to be applied strategically for fleet management solutions. One of the latest and game changing services to enter the fleet management market in recent years is in the IoT (Internet of Things) space, specifically, vehicle telematics services. Collating pure telematics information with other information from other areas such as maintenance, fuel, and driver performance can improve fleet management. Using the case study of ARI, this paper explores the application of advanced analytics to various facets of fleet management and ARI’s experience in aligning analytics with its business strategy. The paper also outlines the steps needed to implement a telematics and analytics strategy in organizations and the importance of bridging the gap between theory and practice.