About Course
Course Overview
A practical, logistics‑focused course that teaches learners how to use data to optimise fleet performance, reduce operating costs, improve routing efficiency, and enhance safety across road, maritime, air, or mixed‑mode fleets. The course covers telematics data, fuel and maintenance analytics, driver behaviour insights, route optimisation, utilisation modelling, predictive maintenance, and real‑time monitoring to support data‑driven fleet management.
Target Audience
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Fleet managers, logistics coordinators, and transport operations teams
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Supply chain, dispatch, and route‑planning professionals
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Data analysts, BI developers, and operations research teams
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Safety, compliance, and maintenance teams
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Students or professionals entering fleet management, logistics, or analytics roles
Course Outcomes
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Understand fleet operations workflows, KPIs, and performance frameworks
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Analyse telematics, GPS, fuel, and maintenance data for operational insights
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Evaluate utilisation, idle time, route efficiency, and cost drivers
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Apply predictive analytics for maintenance, breakdown prevention, and demand forecasting
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Use optimisation models for routing, scheduling, and load planning
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Build dashboards for fleet performance, safety, and real‑time monitoring
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Identify inefficiencies, risks, and improvement opportunities across fleet operations
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Communicate fleet insights clearly to operations, logistics, and leadership teams
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