Case Study: ARI (Automotive Resources International) achieves real-time fleet visibility and lower operating costs with SAP HANA

A SAP HANA Case Study

Preview of the ARI Case Study

How Are the Internet of Things and Predictive Analytics Revolutionizing Vehicle Fleet Management

Automotive Resources International (ARI), the world’s largest privately held fleet-management company managing 1.4 million vehicles, faced limited transparency across driver behavior, fuel use, repairs and routing—making it hard to control total cost of ownership, improve safety, and move from reactive to proactive fleet management.

ARI built Intelfleet on SAP HANA with SAP Leonardo (IoT, telematics, and predictive analytics) to collect and analyze real‑time sensor and geospatial data. The solution delivers 2‑second vehicle updates, predictive maintenance, stop‑level geocoding, and machine‑learning–driven call‑center automation, cutting manual work, improving safety and efficiency, and helping customers reduce costs while supporting ARI’s growth.


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ARI

Majk Strika

Managing Director


SAP HANA

364 Case Studies