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Auto Physical Damage

Vehicle Diagnostic Scanning & Calibration Webinar

Event Details
When: May 26, 2020 @ 5:00PM MST To: @ Where: Online Event

Today’s vehicles are complex. To support Advanced Driver Assistance Systems (ADAS) and other safety and convenience features, automobiles are now equipped with a sophisticated network of control modules, actuators, wires and relays. In addition, modern cars have up to 100 different onboard sensors—a number that could double as consumer demand, industry standards and technological developments push manufacturers to design “smarter” vehicles1. So what happens when one of these “computers on wheels” is involved in a collision? How can your body shop create a repair plan that addresses both the structural components and the electronics? to a virtual roundtable discussion with Mitchell’s Alex Landau, manager of the repair product team, and panelists Neal Hoffman, diagnostic collision repair specialist, and Bob Travelstead, customer solution specialist. They share best practices for using diagnostic scanning and calibration to help facilitate proper, safe vehicle repairs. You’ll learn:

  • Tips for Setup and Implementation
  • Benefits of the Pre- and Post-Scan As Well As How to Interpret Scan Data
  • Requirements for Static and Dynamic Calibrations
  • Pointers for Quickly Accessing

OEM Repair Procedures

Don’t miss this opportunity to get “under the hood” and discover how your shop can streamline the repair process using diagnostic scanning. 

Please note that you can not receive CE credits for watching past webinars.

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Plugged-In: EV Collision Q1 2024

June 4, 2024

In Q1 2024, electric vehicle (EV) repairable claims frequency rose to 2.26% in the United States and 3.41% in Canada, an increase of approximately 40% and 38% respectively over Q1 2023. Tesla price reductions late last year spurred precipitous price drops throughout the EV segment. As a result, price parity between EVs and vehicles with an internal combustion engine (ICE) may be coming faster than previously predicted.

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