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Transformation for IoT Business Model in Connected Industrial Vehicles

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 Transformation for IoT Business Model in Connected Industrial Vehicles - IoT ONE Case Study
Technology Category
  • Infrastructure as a Service (IaaS)
  • Platform as a Service (PaaS) - Data Management Platforms
Applicable Industries
  • Specialty Vehicles
Applicable Functions
  • Logistics & Transportation
Use Cases
  • Vehicle Telematics
The Customer
About The Customer
CNH Industrial is one of the world's largest capital goods companies registered in the Netherlands with corporate offices in London, with more than 70,000 employees.
The Challenge

CNH Industrial wanted to put IoT-enabled viechles onto the market. Whether monitoring a single machine or integrating an entire fleet, operators are able to track the status, speed, and movement of machines and their performance and also receive alerts on issues that may require service by a qualified technician to improve uptime and overall effectiveness of the vehicle.

The Solution

CNH Industrial created the Precision Solutions & Telematics business unit to provide performance-enhancing technologies for the company's product segments, which include agriculture, construction and commercial vehicles. The CNH Industrial system includes other components such as correction signals that provide sub-inch accuracy for drivers during crop seeding and harvesting. Software Components - Precision Solutions & Telematics business unit

Operational Impact
  • [Cost Reduction - Operation]
    Total cost of ownership is lowered due to GPS controlled seed and fertilizer application which results in lower input costs and less waste.
  • [Efficiency Improvement - Maintenance]
    Real-time status reports enable maintenance personnel to remotely diagnose the status of a device.
  • [Cost Reduction - Maintenance]
    The solution allows CNH Industrial to enable predictive maintenance which helps reduce maintenance costs.
Quantitative Benefit
  • The average time that combines, tractors, and harvesting machines are out of commission for maintenance has been reduced by approximately 50% due to the proactive service approach.

  • The engineering data could reveal that when the water temperature on a particular model rose to certain level, 80% of the time the vehicle was experiencing a faulty radiator.

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