Repair-planning with Data-Driven Repair Recommendations
from CollisionCast Hosted by FenderBender
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.
Embed this episode
No transcript yet.
Frequently asked questions
How long is this episode of CollisionCast?
This episode is 17 minutes long.
When was this CollisionCast episode published?
This episode was published on April 23, 2024.
Can I download this CollisionCast episode?
Yes. Use the download control on the episode player to save the publisher-provided media file.