Sessions Highlight AI for the PDR Industry at MTE

MTE is diving into AI! Discover how this powerful tool can help build your business by saving time, creating efficiencies, and attracting more customers. It can capture inquiries, assess vehicles using state-of-the-art remote scanning equipment, review estimates, create streamlined shop operations workflows, and forecast expenses and revenue.

From individual repairs, to insurance claims, to dealer relationships, learn how AI can increase your bottom line.

Be sure to add these sessions to your Education Day schedule!

Intro to AI for PDR and Collision Repair

An overview of Visual AI for PDR and Collision repair technicians. Learn how to select the proper visual AI models to remotely assess and scope work for your business. Discover how Visual AI models work and how to employ the scoping documents to better secure business, grow your sales, and achieve exponential results for your marketing and advertising budgets.

Leapfrog Your Competition Using Advanced Visual AI and Remote Scanning for PDR and Collision Repair

Leapfrog your competition in assessing vehicles in 10 seconds while the market takes two or more hours. Learn how to leverage the state-of-the-art remote scanning equipment to secure business for PDR and Collision Repair. Find out how to deploy off grid remote scanning equipment using Starlink and Solar power to supercharge your business results. Learn to capture more work during times of catastrophe and keep your business schedule full by leveraging visual AI.

Leveraging AI Visual Intelligence for Hail and Damage Estimation

An overview of how to execute and leverage AI visual intelligence to rapidly identify more work for your business. An overview of Drive Through Scanners and remote images will be discussed by a global provider of AI.

The AI-Powered PDR Shop: Win More Jobs, Improve Estimates, Recover Revenue

A PDR job can lose momentum at several points: a missed inquiry, an incomplete estimate, a documentation gap, or a supplement that never gets reviewed. In this interactive workshop, Sanōva AI founder Jason Sanders and CTO Jeff Webber will guide attendees through a realistic hail repair job, from first customer contact to a claim ready estimate. Participants will examine a sample intake and estimate, identify missed opportunities, and map where AI can help capture inquiries, organize job information, review estimate lines, and flag items for human review. Jason will focus on shop operations and business outcomes, while Jeff will show how these workflows connect with tools shops already use. Attendees will leave with a practical checklist for evaluating their own intake and estimating process, plus three changes they can prioritize in their shop. The session is designed for owners, estimators, technicians, and hail operators. Sanōva will provide a working example throughout the exercise.