公司规模
Mid-size Company
地区
- Asia
国家
- Japan
产品
- Mobicon
- Yellowfin
技术栈
- Business Intelligence (BI) Tools
- Customer Relationship Management (CRM) Solutions
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Customer Satisfaction
- Productivity Improvements
技术
- 平台即服务 (PaaS) - 数据管理平台
- 分析与建模 - 预测分析
适用行业
- 汽车
适用功能
- 商业运营
- 销售与市场营销
用例
- 预测性维护
服务
- 软件设计与工程服务
- 系统集成
关于客户
REVISE is a company that has been providing services to strengthen after-sales service for used car businesses since 2014. Over the years, it has expanded its offerings to provide total support services aimed at maximizing the Lifetime Value (LTV) of used car businesses. This includes not only selling vehicles but also enhancing sales promotion and after-sales services. The company developed a system called 'Mobicon' to link all aspects of the used car business, from purchasing to after-sales service. Mobicon's dashboard displays various indicators that used car dealers can use to improve LTV. REVISE selected Yellowfin as the business intelligence (BI) tool to support these indicators, demonstrating its commitment to integrating advanced analytics into its operations.
挑战
The used car industry traditionally focused on selling cars, but REVISE identified a need to enhance customer relationship management (CRM) to improve after-sales services. The challenge was the lack of data integration and non-streamlined operations, which hindered effective CRM. Existing systems were separate for sales, inventory, and other functions, leading to fragmented customer information. This fragmentation meant that even if a customer had previously purchased a car, they were often registered as a new customer, preventing effective CRM. The company needed a solution to integrate data and streamline operations to maintain customer relationships and maximize Lifetime Value (LTV).
解决方案
To address the challenges, REVISE developed 'Mobicon', a comprehensive system designed to optimize Lifetime Value by providing total support for used car dealers. Mobicon integrates all functions required for the car sales business, both used and new, and links operations from purchasing to after-sales service. The system's dashboard offers a visualization of critical information such as inventory, client data, sales trends, and coupon usage rates. Yellowfin, a trusted BI tool, was embedded in Mobicon to deliver metrics directly to dealers, enhancing CRM and LTV maximization. The integration of Yellowfin allows for detailed customer and KPI analysis, providing dealers with actionable insights. The graphical user interface (GUI) of Yellowfin is user-friendly, and its compatibility with REVISE's web services makes it an ideal partner for this initiative.
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
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.