Predictive Fleet Maintenance: How Commercial Fleets Reduce Downtime Before It Disrupts Operations
11:00 AM EST | February 18, 2026
Agenda of This Session
- Top 3 challenges fleet operators face across commercial fleets (with examples from waste, construction and freight operations)
- Why PM programs alone still fail to prevent unplanned downtime
- How AI is enabling fleets prioritize vehicles by failure risk they can trust
- How predictive insights integrate with existing telematics devices and maintenance systems with no new hardware or workflow changes
- Real-world case study highlighting reduced downtime, lower maintenance spend and improved technician efficiency
- Live Q&A with practical, actionable takeaways for your fleet
Special Offer!
The first 25 qualifying fleet registrations will be eligible for a complimentary AI-based fleet risk analysis, including:
- Identification of specific vehicles at highest risk of failure in their fleet
- An estimate of potential maintenance savings for the coming month
Who Should Attend
- Commercial fleet operators in Trucking & Freight, Construction, and Waste management with 50+ vehicles
- Owners, fleet managers, maintenance leaders, operations heads and CIOs
- Teams dealing with frequent breakdowns, rising maintenance costs, or limited technician capacity
What You’ll Take Away
- How to identify early warning signs of failure using existing data you already collect
- How to prioritize maintenance work when technician bandwidth is limited
- Access to a complimentary AI risk snapshot for your fleet (limited availability)
Speaker
Ganes Kesari is the Founder and CEO of Tensor Planet
|TEDx speaker| Columnist for MIT Sloan Management Review| Guest lecturer at Columbia University|
Tensor Planet is an AI-driven predictive maintenance company helping fleets reduce downtime and avoid costly repairs using existing telematics data. Ganes works closely with commercial fleets to help them tackle downtime pressure, rising maintenance costs and technician shortages.