使用 Onfleet 扩展按需建筑材料应用程序：Rockery 案例研究
技术
- 平台即服务 (PaaS) - 应用开发平台
适用行业
- 水泥
- 运输
适用功能
- 物流运输
- 采购
用例
- 楼宇自动化与控制
- 最后一英里交付
服务
- 系统集成
关于客户
Rockery 是一家技术驱动型公司，按需提供岩石和沙子等重型建筑材料。该公司的目标是通过为承包商提供简单的应用程序体验来简化建筑行业，使他们能够采购材料而不必担心供应或交付。 Rockery 由前 iOS 开发人员和 Twitter 技术主管 James Wicker 及其商业伙伴、首席执行官 Marcelo Barajas 于 2017 年推出。该公司总部位于加利福尼亚湾区，在加利福尼亚州圣地亚哥设有其他业务，并计划在不久的将来扩展到德克萨斯州圣安东尼奥。
挑战
Rockery 是一家按需提供重型建筑材料的公司，在管理其交付流程方面面临着重大挑战。该公司的业务模式包括将卡车发送到建筑材料的来源（通常是采石场），然后将材料运送到承包商的工地。在最初几年，Rockery 使用 Slack 渠道管理调度。然而，到 2019 年 3 月，该公司意识到这种临时方法对于他们不断增长的业务来说是不可持续的。他们需要一种解决方案，使他们能够在不影响效率或客户服务的情况下快速扩展业务。
解决方案
2019 年，Rockery 将 Onfleet 交付管理软件集成到其运营中，以应对扩展挑战。 Onfleet 的动态路线系统使 Rockery 能够全天规划路线和材料成本，只需一名调度员即可为一个市场的 1000 名建筑商规划路线和材料成本。此次整合使公司运营发生了根本性转变，一个月内就出现了显着改善。 Onfleet 平台还为 Rockery 提供了承担任何规模作业所需的可扩展性。例如，如果 Rockery 的卡车车队没有足够的工作能力，他们可以将卡车司机外包，并在几分钟内将其运送到 Onfleet。 Rockery还与圣地亚哥的一家卡车运输公司建立了合作伙伴关系，该公司从前端接受订单，而卡车运输公司则使用Onfleet进行调度和交付。
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
System 800xA at Indian Cement Plants
Chettinad Cement recognized that further efficiencies could be achieved in its cement manufacturing process. It looked to investing in comprehensive operational and control technologies to manage and derive productivity and energy efficiency gains from the assets on Line 2, their second plant in India.
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.
