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Repair-planning with Data-Driven Repair Recommendations

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Manage episode 414159109 series 1118436
Content provided by FenderBender. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by FenderBender or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

How shops approach repair planning is often not optimal for where collision repair is headed, with added repair cost and complexity. Although much of repair planning is currently focused on identification through the pre-scan, it needs to move to data-driven repair recommendations, says Sam Poradish, director of automotive intelligence at asTech, one of the sponsors of our inaugural Best Repair Planner/Estimator of the Year Award.

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105 episodes

Artwork
iconShare
 
Manage episode 414159109 series 1118436
Content provided by FenderBender. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by FenderBender or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

How shops approach repair planning is often not optimal for where collision repair is headed, with added repair cost and complexity. Although much of repair planning is currently focused on identification through the pre-scan, it needs to move to data-driven repair recommendations, says Sam Poradish, director of automotive intelligence at asTech, one of the sponsors of our inaugural Best Repair Planner/Estimator of the Year Award.

  continue reading

105 episodes

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