Case study: Improved vehicle utilization through predictive maintenance

BRIDGEi2i helps a large transport operator in Middle East improve vehicle availability and workshop load pattern through a data driven preventive maintenance schedule.

The client is one of the largest taxi operators in the Middle East which operates 3000+ taxis. A major objective for the company is to maximize availability of taxis on road for customers and in turn also increase the revenue potential for drivers. While few of the taxis get off road due to repair needs, many of them need to undergo periodic preventive maintenance at periodically. Currently the schedule is not optimized and typically heavy during certain days of the week. Opportunity lies in building an optimum preventive maintenance schedule which ensure higher fleet availability and properly balance utilization of workshop capacity across days.

BRIDGEi2i engaged in a data driven consulting engagement to build a schedule that learns from historical workshop workload patterns, taxi mileage and recommended preventive maintenance thresholds.

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