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Hyundai drives up auto sales with webMethods
Technology Category
- Application Infrastructure & Middleware - API Integration & Management
Applicable Industries
- Automotive
Applicable Functions
- Sales & Marketing
- Business Operation
Use Cases
- Supply Chain Visibility
- Inventory Management
Services
- System Integration
The Challenge
Beijing Hyundai Motor's Dealer and Customer Management System (DCMS) was facing issues with dealer engagement, leading to late, unreliable, and scattered data. The IT branch of Beijing Hyundai Motor, BHIT, decided to enhance the dealer system by building 11 new subsystems. However, the system interfaces weren't properly classified, leading to a drastic increase in server requests and system glitches. The company needed a solution that could enable real-time data synchronization with all 750 dealers and orchestrate regular batch processing and transmission.
About The Customer
Beijing Hyundai Information Technology (BHIT) is the IT arm of Beijing Hyundai Motor. BHIT provides IT operations and maintenance services, as well as software development and network planning and design for the FORTUNE 500 auto maker. The 80+ systems managed by BHIT are used by five Hyundai factories to manufacture 1.5 million vehicles a year. Managing 750 car dealers is no small task. Yet it’s exactly why Beijing Hyundai Motor needs a well-tuned Dealer and Customer Management System (DCMS). The system coordinates core transactions, such as vehicle ordering, sales leads, repairs and damage claims, and parts management, across the manufacturer’s vast dealer network.
The Solution
BHIT investigated solutions to resolve the interface problem and selected webMethods for its reliability, proven performance, and scalability. After setting up the production environment, BHIT started up four main data flow interfaces of webMethods: regular task scheduling, common web service, queue broadcasting, and asynchronous interfaces. This provided increased insight and control. For example, log and database files from webMethods allowed BHIT to quickly answer key questions, such as which system produces a message, when the message was sent, what type of data the message transfers, and whether the message was successfully sent.
Operational Impact
Quantitative Benefit
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