下载PDF
Case Study: Allied Toyotalift
技术
- 功能应用 - 车队管理系统 (FMS)
适用功能
- 物流运输
用例
- 车队管理
挑战
Allied Toyotalift, a medium-sized enterprise in the wholesale distribution industry, was facing several challenges related to their fleet management. They were struggling with knowing where their drivers were at any given time, improving fleet efficiency, and reducing costs. These challenges were impacting their overall operational efficiency and bottom line. To address these issues, they decided to evaluate various solutions and ultimately selected Spireon FleetLocate.
关于客户
Allied Toyotalift is a medium-sized enterprise operating in the wholesale distribution industry. The company was facing significant challenges in managing their fleet, which was impacting their operational efficiency and increasing their costs. They were struggling with tracking their drivers' locations, improving the efficiency of their fleet operations, and reducing their operational costs. These challenges prompted them to seek a solution that could address these issues and improve their fleet management.
解决方案
Allied Toyotalift chose to implement Spireon FleetLocate to address their fleet management challenges. The key features and functionalities of Spireon FleetLocate that Allied Toyotalift utilized included improved efficiency and reduced idling. By implementing FleetLocate, they were able to see significant improvements in their operations. The solution helped them to know where their drivers were at any given time, which improved their fleet efficiency and reduced their costs. The implementation of FleetLocate has made a real dent in reducing costs, helped get more out of drivers and assets, and made the fleet safer.
运营影响
数量效益
相关案例.
Case Study
IoT-based Fleet Intelligence Innovation
Speed to market is precious for DRVR, a rapidly growing start-up company. With a business model dependent on reliable mobile data, managers were spending their lives trying to negotiate data roaming deals with mobile network operators in different countries. And, even then, service quality was a constant concern.
Case Study
Vehicle Fleet Analytics
Organizations frequently implement a maintenance strategy for their fleets of vehicles using a combination of time and usage based maintenance schedules. While effective as a whole, time and usage based schedules do not take into account driving patterns, environmental factors, and sensors currently deployed within the vehicle measuring crank voltage, ignition voltage, and acceleration, all of which have a significant influence on the overall health of the vehicle.In a typical fleet, a large percentage of road calls are related to electrical failure, with battery failure being a common cause. Battery failures result in unmet service agreement levels and costly re-adjustment of scheduled to provide replacement vehicles. To reduce the impact of unplanned maintenance, the transportation logistics company was interested in a trial of C3 Vehicle Fleet Analytics.
Case Study
Zonar Takes the Wheel with a M2M Solution
Zonar’s fleet management solutions collect, report and analyze data before, during and after a vehicle’s trip. The company needed Machine-to-Machine (M2M) connectivity to enable communication between in-vehicle devices and back-end systems. To deliver high volumes of potentially sensitive information from and to moving vehicles – and keep pace with its rapid business growth – Zonar wanted a highly secure solution that it could easily manage and that had the required national and global reach.
