Data Analytics for Fleet Optimization and Cost Reduction

Objectives

• Understand the role of data analytics in fleet management.
• Learn techniques to optimize fleet performance and reduce operational costs.
• Explore the use of predictive analytics for maintenance and route planning.
• Develop skills to measure and track key performance indicators (KPIs) for fleet efficiency.

Content

Introduction to Data Analytics in Fleet Management

• Overview of data analytics and its importance in fleet management
• Key challenges in fleet management and how data analytics addresses them
• Types of data used in fleet optimization (GPS, fuel, maintenance, etc.)
• The role of big data and IoT in fleet management

Optimizing Fleet Operations and Performance

• Analyzing fleet utilization and efficiency
• Route optimization using data analytics
• Fuel consumption analysis and reduction strategies
• Driver behavior monitoring and improvement

Predictive Analytics for Fleet Maintenance

• Predictive maintenance techniques and tools
• Identifying patterns in maintenance data
• Reducing downtime and extending vehicle lifespan
• Implementing real-time monitoring systems

Measuring and Tracking Fleet Performance

• Key performance indicators (KPIs) for fleet management
• Using data to monitor cost reduction and efficiency improvements
• Reporting and visualizing fleet data
• Continuous improvement strategies based on analytics results

DATE:

1ST BATCH: 10th – 13th Mar,                       2026    

2ND BATCH: 7th – 10th Jul,                    2026

3RD BATCH: 10th – 13th Nov,                     2026