Case Study: Leading Automated Tire Management System Manufacturer reduces tire-related downtime by nearly half with Insight

Creating Competitive Edge With an Industry-Leading Automated Tire Management System

Leading Automated Tire Management System Manufacturer partnered with Insight to modernize commercial fleet tire maintenance. The company needed a faster, more scalable way to detect tire pressure loss and tread issues across a 7,500+ vehicle fleet, replacing a manual process that was slow, labor-intensive, and created downtime and safety risks. Using an existing Azure ecosystem and data lake, the manufacturer looked to Databricks for streaming analytics and needed help proving value through a proof of concept.

Insight built a next-gen automated tire management platform using Databricks, custom code, model development, and a custom iOS app that captured tire images and delivered real-time measurements. Insight also supported an AI CoE, MLOps framework, sandbox governance, and compute planning to scale the solution across multiple models and more than 7,500 vehicles. The result was a first-of-its-kind real-time analysis app for commercial fleets and a nearly 50% reduction in tire-related downtime, alongside improved safety, productivity, and cost savings.