According to tirereview.com, Michelin North America introduced two data-driven products at the Technology & Maintenance Council annual meeting in Nashville: TreadVision by Michelin Retread Technologies and the Smart Predictive Tire from Michelin Connected Fleet. Both aim to bring industrial-scale measurement, analytics, and automation to heavy-duty tire management. The announcements target commercial fleets that want better uptime, longer asset life, and lower operating costs.
TreadVision is presented as a rethink of the retread process for fleets, combining robotics, laser measurement, artificial intelligence, and advanced analytics to improve quality and consistency. At the heart of the system is TreadEye, a sensor array that records 1,200 precise measurement points per tire to build a detailed map of tread wear and casing condition. That map helps fleets pick optimal pull points, protect casings, and avoid unnecessary downtime.
The platform also includes AI-powered automated inspection with predictive modeling, designed to spot hidden imperfections that visual checks and traditional equipment can miss. Michelin says the automation extends to tire handling, workflow optimization, and specification management, which reduces human variability, speeds turnaround, and standardizes retread builds across locations.
TreadVision links into Michelin’s Fleet Business Insights platform, so retread results and casing health feed fleet-level reporting. Fleets can pull actionable data on performance trends, asset tracking, and cost management, and use that information to refine maintenance schedules and retread strategies.
Complementing TreadVision, Smart Predictive Tire is a real-time trailer tire monitoring service for Classes 7 and 8 fleets. It continuously logs pressure and temperature and applies Smart Leak analytics to predict failures and estimate time to critical condition. The goal is earlier, more accurate intervention before a flat or blowout forces a roadside stop.
European pilot programs delivered notable outcomes, according to Michelin. Pilots saw up to 80 percent fewer roadside emergencies, a 9 percent increase in tire life when under-inflation was corrected, and a 4 percent reduction in fuel use at optimal pressures. Those figures underline how monitoring pressure and temperature in real time can translate into clear operational savings.
Company executives framed the technologies as tools that extend asset life, reduce costs, boost uptime, and improve safety. They stressed the systems are meant to augment skilled technicians, not replace them, by removing routine tasks and giving staff better data to act on.
Taken together, the two announcements reinforce Michelin’s push toward data-driven tire management in heavy-duty trucking. For fleet operators, the promise is simpler decision making, fewer surprises on the road, and more predictable retread outcomes, all backed by the kind of measurement and automation that the industry has long needed.
