Fleet Solutions Live! Fall 2025-10.9.25 Driven by Data. AI’s Role in Next-Gen Fleet Management

Video Transcription

Video Summary

In this NAFA Fleet Solutions Live webinar, Mike Kamnetter of General Mills hosts a session on the transformative impact of artificial intelligence (AI) in fleet management. He introduces Parsh Wanath from Wheels, an AI expert who explains how AI, particularly machine learning and generative AI, can optimize fleet operations by predicting maintenance needs, preventing accidents, and detecting fuel fraud. Parsh emphasizes that AI learns from company-specific data, making it a valuable, proprietary asset. Examples include Wheels' machine learning model that predicts vehicle registration renewal risks with 98.3% accuracy, significantly reducing expired registrations. Mike shares his experience with predictive maintenance, noting the challenge of investing in proactive vehicle care without visible failures but sees growing acceptance due to advancing data. The discussion also explores how AI analyzes driver behavior to prevent accidents and flags fuel anomalies to control costs. They describe generative AI’s evolution, clarifying misconceptions about "agentic AI" and highlighting practical applications like AI-powered chatbots using vector databases to provide personalized driver support. Both speakers stress AI as a productivity enhancer, not a replacement for fleet professionals, advising clear AI strategy development focusing on ambition, investment in people and processes, change management, risk mitigation, and governance. They conclude that embracing AI is critical to staying competitive, enhancing safety, efficiency, and decision-making in fleet management.

Keywords

Artificial Intelligence

Fleet Management

Machine Learning

Generative AI

Predictive Maintenance

Driver Behavior Analysis

Fuel Fraud Detection

AI Strategy

Fleet Operations Optimization