技术
- 功能应用 - 库存管理系统
- 传感器 - 自动驾驶传感器
适用行业
- 汽车
- 水泥
适用功能
- 采购
- 仓库和库存管理
用例
- 智能停车
- 车辆到基础设施 (V2I)
服务
- 系统集成
关于客户
该客户是一家名为 Carlypso 的初创公司,该公司在线销售汽车,没有库存。他们加入 Carvana 来整合他们的技术并构建新的垂直领域。创始人后来离开 Carvana,创办了一家名为 Clutch 的新公司。
挑战
在初创公司的早期,创始人面临着工程资源有限和优先事项相互竞争的挑战,这分散了工程师对产品开发的注意力。
解决方案
创始人发现了 Zapier 并用它来自动化手动任务,使工程师能够专注于构建技术产品。 Zapier 用于填充 SalesForce 中的字段、创建 PDF、更新记录以及执行各种其他任务。
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
Integral Plant Maintenance
Mercedes-Benz and his partner GAZ chose Siemens to be its maintenance partner at a new engine plant in Yaroslavl, Russia. The new plant offers a capacity to manufacture diesel engines for the Russian market, for locally produced Sprinter Classic. In addition to engines for the local market, the Yaroslavl plant will also produce spare parts. Mercedes-Benz Russia and his partner needed a service partner in order to ensure the operation of these lines in a maintenance partnership arrangement. The challenges included coordinating the entire maintenance management operation, in particular inspections, corrective and predictive maintenance activities, and the optimizing spare parts management. Siemens developed a customized maintenance solution that includes all electronic and mechanical maintenance activities (Integral Plant Maintenance).
Case Study
Monitoring of Pressure Pumps in Automotive Industry
A large German/American producer of auto parts uses high-pressure pumps to deburr machined parts as a part of its production and quality check process. They decided to monitor these pumps to make sure they work properly and that they can see any indications leading to a potential failure before it affects their process.