Fleet Maintenance in the Age of AI and Predictive Analytics

Objectives

• Understand the integration of AI and predictive analytics in fleet maintenance.
• Learn techniques for improving fleet efficiency and reducing downtime.
• Explore tools and technologies for predictive maintenance.
• Develop strategies for implementing AI-driven maintenance systems.

Content

Introduction to AI and Predictive Analytics in Fleet Maintenance

• Overview of AI applications in fleet management
• Basics of predictive analytics and its benefits
• Transition from reactive to predictive maintenance models
• Challenges and opportunities in AI-driven fleet maintenance

AI-Driven Tools and Technologies

• IoT sensors and real-time data collection
• Machine learning algorithms for fault detection
• Predictive maintenance software and platforms
• Integration of telematics with AI systems

Optimizing Fleet Efficiency and Performance

• Proactive scheduling of maintenance activities
• Reducing unplanned downtime with predictive insights
• Enhancing fuel efficiency through AI recommendations
• Cost-saving strategies using AI and analytics

DATE:

1ST BATCH: 17th – 20th Feb,                       2026    

2ND BATCH: 16th – 19th Jun,                    2026

3RD BATCH: 13th – 16th Oct,                     2026