Rural Economic Assistance League, Inc. (REAL, Inc.)
公司规模
SME
地区
- America
国家
- United States
产品
- Ecolane DRT
- Ecolane MDT
- Ecolane Advanced Reporting Functionality
技术栈
- Ecolane Software Suite
实施规模
- Enterprise-wide Deployment
影响指标
- Productivity Improvements
- Customer Satisfaction
- Digital Expertise
技术
- 功能应用 - 远程监控系统
适用行业
- 运输
- Professional Service
适用功能
- 物流运输
- 商业运营
用例
- 车队管理
- 预测性维护
- 远程资产管理
服务
- 系统集成
- 培训
- 软件设计与工程服务
关于客户
Rural Economic Assistance League, Inc. (REAL, Inc.) is a transportation service provider that faced significant challenges with their manual processes and outdated optimization module. The organization struggled with preparing drivers' schedules a day before the service date, leading to inconsistency and poor on-time performance. REAL, Inc. needed a better, automated solution to improve their operations and meet their goals. Despite the challenges posed by the COVID-19 pandemic, the organization was determined to find a solution that would help them achieve their objectives.
挑战
REAL, Inc. faced several challenges with their manual processes and existing optimization module, which failed to meet expectations in terms of delivery. The preparation of drivers' schedules a day before the service date led to inconsistency in their schedules and poor on-time performance. The organization needed a better, automated solution to address these issues. Additionally, the COVID-19 pandemic posed a significant challenge during the implementation phase, raising concerns about meeting the Go-Live date.
解决方案
REAL, Inc. implemented Ecolane's Demand Response Transportation (DRT) and Mobile Data Terminal (MDT) solutions, along with advanced reporting functionality. The agency needed to move off their legacy software regardless of the COVID-19 pandemic. Ecolane was able to seamlessly transition REAL, Inc. from their legacy software by virtually training the drivers, schedulers, and dispatchers. This transition allowed REAL, Inc. to automate their processes and improve their overall efficiency.
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
Airport SCADA Systems Improve Service Levels
Modern airports are one of the busiest environments on Earth and rely on process automation equipment to ensure service operators achieve their KPIs. Increasingly airport SCADA systems are being used to control all aspects of the operation and associated facilities. This is because unplanned system downtime can cost dearly, both in terms of reduced revenues and the associated loss of customer satisfaction due to inevitable travel inconvenience and disruption.
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
Digitize Railway with Deutsche Bahn
To reduce maintenance costs and delay-causing failures for Deutsche Bahn. They need manual measurements by a position measurement system based on custom-made MEMS sensor clusters, which allow autonomous and continuous monitoring with wireless data transmission and long battery. They were looking for data pre-processing solution in the sensor and machine learning algorithms in the cloud so as to detect critical wear.
Case Study
Cold Chain Transportation and Refrigerated Fleet Management System
1) Create a digital connected transportation solution to retrofit cold chain trailers with real-time tracking and controls. 2) Prevent multi-million dollar losses due to theft or spoilage. 3) Deliver a digital chain-of-custody solution for door to door load monitoring and security. 4) Provide a trusted multi-fleet solution in a single application with granular data and access controls.
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
3M Gains Real-Time Insight with Cloud Solution
The company has a long track record of innovative technology solutions. For example, 3M helps its customers optimize parking operations by automating fee collection and other processes. To improve support for this rapidly expanding segment, 3M needed to automate its own data collection and reporting. The company had recently purchased the assets of parking, tolling, and automatic license plate reader businesses, and required better insight into these acquisitions. Chad Reed, Global Business Manager for 3M Parking Systems, says, “With thousands of installations across the world, we couldn’t keep track of our software and hardware deployments, which made it difficult to understand our market penetration.” 3M wanted a tracking application that sales staff could use to get real-time information about the type and location of 3M products in parking lots and garages. So that it could be used on-site with potential customers, the solution would have to provide access to data anytime, anywhere, and from an array of mobile devices. Jason Fox, Mobile Application Architect at 3M, upped the ante by volunteering to deliver the new app in one weekend. For Fox and his team, these requirements meant turning to the cloud instead of an on-premises datacenter. “My first thought was to go directly to the cloud because we needed to provide access not only to our salespeople, but to resellers who didn’t have access to our internal network,” says Fox. “The cloud just seemed like a logical choice.”