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Digital Twin for Vehicle Health, Behavior & Fuel

Summary

A new solution uses Digital Twin technology to enhance fleet management by providing predictive vehicle health monitoring, driver behavior analysis, and fuel pilferage detection. It improves efficiency, reduces costs, and enables proactive maintenance, currently monitoring over 250,000 assets globally and detecting over 200,000 liters of fuel theft monthly. To address the challenges in fleet management, particularly the lack of real-time vehicle health monitoring and persistent fuel pilferage, a new solution leverages Digital Twin technology. This enables predictive vehicle health monitoring, in-depth driver behavior analysis, and precise fuel pilferage detection. The benefits include enhanced fleet efficiency, significantly reduced operational costs, and proactive maintenance capabilities. The impact is substantial, with the system monitoring over 250,000 assets across 18 countries and detecting over 200,000 liters of fuel theft monthly, demonstrating its effectiveness in optimizing fleet operations globally.

Problem

Challenges in fleet management due to lack of real-time vehicle health monitoring and fuel pilferag

Impact

Monitoring over 250,000 assets across 18 countries; detecting over 200,000 liters of fuel theft monthly

Partners

KM Trans Logistics , CJ Darcl Logistics , Kapoor Diesel , Purple , SRS Travels , V-Trans, Raman Roadways