Fleetmatics Group PLC (NYSE: FLTX), a leading global provider of fleet management solutions for commercial fleet vehicles delivered as software-as-a-service (SaaS), extends its congratulations to Jason Case, President of Boston-based Case Snow Management and Fleetmatics customer, on his win of CBS’ “The Amazing Race.” Case was crowned the winner on Sunday, December 8.
Case Snow has been in exterior maintenance services since 1951 and offers a range of services including plowing, hauling, de-icing and sidewalks. The company, rated #15 of the top 100 snow contractors in North America by the Accredited Snow Contractors Association’s
, selected Fleetmatics to assist with managing its 23-vehicle fleet specifically in establishing proof of service, removing the use of manual time sheets, ensuring employees are working productively and efficiently, reducing truck idling time and increasing driver safety.
Since partnering with Fleetmatics, Case Snow has begun to see results such as minimized excessive idling and the identification of employees who clocked out early without putting in their time cards. These benefits will be especially crucial this winter when driving conditions become worse and vehicle breakdowns can inhibit employees from safely and efficiently reaching job sites.
“Many small businesses struggle with the ability to manage costs while increasing operational efficiency and maintaining a high standard of service. But, commercial fleet intelligence empowers fleet-based businesses like my own to work smarter, not harder, by getting more done without adding resources,” said Case. “I’m eager to see how Fleetmatics will continue to help Case Snow achieve even greater levels of success in both the near- and long-term.”
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About Fleetmatics Group PLC
Fleetmatics Group PLC is a leading global provider of fleet management solutions for small and mid-sized businesses delivered as software-as-a-service (SaaS). Our solutions enable businesses to meet the challenges associated with managing local fleets, and improve the productivity of their mobile workforces, by extracting actionable business intelligence from real-time and historical vehicle and driver behavioral data.