Cognizant > Case Studies > A Customized Cloud Framework Guarantees Vehicle's Mission and Health

A Customized Cloud Framework Guarantees Vehicle's Mission and Health

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 A Customized Cloud Framework Guarantees Vehicle's Mission and Health - IoT ONE Case Study
Technology Category
  • Analytics & Modeling - Big Data Analytics
Applicable Industries
  • Equipment & Machinery
Applicable Functions
  • Maintenance
Use Cases
  • Machine Condition Monitoring
The Challenge

A large U.S. heavy equipment manufacturer and logistics company sell its vehicles to dealers who, in turn, rent or sell them to individual customers. An antiquated, on-premises data center made maintaining and managing its 400,000 pieces of heavy equipment a challenge.

This outdated environment also made it difficult to scale its vehicle monitoring capabilities, assess vehicle health proactively and capture analytics for insights into performance across the company. With its legacy data center at capacity and the high licensing fees associated with available marketplace solutions, the manufacturer needed a partner to help transform its business operations.

About The Customer
A leading and large U.S heavy equipment manufacturer and logistics company.
The Solution

Leveraging Microsoft’s performance testing VSTS cloud platform, Cognizant developed a custom framework using defined parameters to capture health messages from each of the manufacturer’s vehicles. This system provides a customized view of a vehicle’s mission and overall health, including fuel level, mileage, engine start/stop, service required and parts needed.

 

Operational Impact
  • This system provides a customized view of a vehicle’s mission and overall health.

  • Automatically notify the vehicle owner on services it needs.

  • Date from analytics engine gives valuable insights to other divisions across the manufacturing company. 

Quantitative Benefit
  • 400% increase in vehicle monitoring capabilities.

    5,000+ vehicle-related messages ingested per second.

  • ~$75,000 savings per year in tool licensing costs by avoiding the purchase of IoT virtualization

  • Migrating to the cloud—enables the manufacturer to scale its vehicle performance monitoring capabilities from 400,000 to 2 million vehicles.

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