Leasing vs. Equipment Rental
公司规模
Large Corporate
地区
- America
国家
- United States
产品
- Accident Service
- Financing Service
- Fleet Partnership
- Maintenance Service
- Personal Usage & Expense Tracking
技术栈
- Telematics
- Title, Licensing & Registration
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
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
服务
- 系统集成
关于客户
The customer is a business services company that operates a service fleet. The fleet consists of 150 forklifts spread over 80 branch locations. The company utilizes a variety of services including accident service, financing, fleet partnership, maintenance, personal usage & expense tracking, rental, telematics, and title, licensing & registration.
挑战
The customer was looking for a way to reduce the total cost of its material handling equipment used in its warehouses across the country. The customer’s corporate office had no visibility into its forklift inventory or related costs within each of its 80 branch locations. Several branches have low asset usage needs and believed rentals were a better option than leasing new equipment.
解决方案
As part of the fleet implementation, Element Fleet Management gathered and analyzed the client’s equipment inventory – something that had not been done before. They identified three branches where high cost rentals were being used. Their equipment experts located/purchased forklifts that fit their specific needs, while focusing on providing leasing options that cost less than current rental fees.
运营影响
数量效益
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
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.
