SAP > Case Studies > Driving Two Million Vehicles with Real-Time Data

Driving Two Million Vehicles with Real-Time Data

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 Driving Two Million Vehicles with Real-Time Data - IoT ONE Case Study
Technology Category
  • Analytics & Modeling - Big Data Analytics
The Customer
Automotive Resources International
About The Customer
For more than 60 years, Automotive Resources International (ARI) has managed some of the most complex vehicle fleets on the road. The company is committed to maintaining superior service and offering a distinct level of customer value, which it achieves t
The Challenge

For ARI, customer service is key. Seven global customer contact centers handle about 4 million calls annually, and this sea of daily information needs to be analyzed, which took up to two days manually, so negatively affecting service levels. With the amount of data ARI collects doubling every 14 months, their in-house ETL data warehouse limited their ability to fully help customers reduce fleet costs and gain operational efficiencies.

The Solution

ARI collects and analyzes data to determine how fleet management can support their customers' goals. Because ARI needed a big data solution, they selected the SAP HANA platform. They also chose Hewlett-Packard (HP) for their hardware platform. SAP HANA was so impressive that it attracted ARI away from competing prviders. With in-memory computing provided by SAP HANA, ARI can now answer customer questions in seconds, allowing the company to drive greater efficiencies for customers.

Data Collected
Asset Efficiency Ratios, Customer Satisfaction Score, Product Lifecycle, Service Lifecycle, Transaction Cost
Operational Impact
  • [Efficiency Improvement - Operation]
    ARI has transformed their IT infrastructure and business strategy. Their customers can now solve complex problems, combining business insight and optimal lifecycle analysis to drive vehicle fleet efficiency up, and push costs down.
  • [Cost Reduction - Operation]
    Higher first call resolution rate, and lower cost per transaction.
Quantitative Benefit
  • 5% reduction in total overhead costs

  • Increased reporting and analysis speed by 21,600x

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