Question 1

How do I get a repair cost estimate for this 2018 Kentucky Unknown?

Accepted Answer

Upload photos of this 2018 Kentucky Unknown plus the VIN at AutoEstimatePro. The AI identifies every damaged component and produces a complete line-item repair estimate in about 10 minutes.

Question 2

What does the AutoEstimatePro AI report include?

Accepted Answer

Every report includes: AI damage detection across all panels and components; line-item repair costs with parts and labor hours per item; real-time parts pricing from 200+ suppliers (eBay Motors, LKQ, RockAuto, CarParts.com, OEM dealers); three max bid calculators — MFB (Max Flip Bid), MRB (Max Retail Bid), and MSB (Max Safe Bid); estimated retail and trade-in market value; full ROI and profit projection; OEM repair procedures and torque specs; YouTube repair video links matched to your exact damage; a transport cost estimator; a shoppable parts list with direct buy links; and a downloadable PDF.

Question 3

How much does an AI damage report cost?

Accepted Answer

Reports start at $14.99 each. Packs of 5 cost $64.99 and 10 cost $119.99. No subscription required — credits never expire.

Question 4

How fast will I receive the damage report?

Accepted Answer

The full report is typically ready in about 10 minutes after you upload your photos. No waiting for a shop or adjuster.

Question 5

Can I get a max bid recommendation for this Kentucky Unknown?

Accepted Answer

Yes. Every report includes a Max Safe Bid (MSB) calculator that factors in repair cost, estimated retail value, and your desired profit margin so you never overpay at auction.

Question 6

Does AutoEstimatePro work for both Copart and IAA vehicles?

Accepted Answer

Yes. AutoEstimatePro works with any Copart, IAA, or Manheim auction vehicle. Just upload the photos and VIN — the AI handles the rest.

VIN	1KKVE5325JL240748
Lot Number	94402415
Source	Copart
Title	Salvage Certificate
Color	White
Odometer	0 mi (NOT ACTUAL)
Primary Damage	Burn
Location	ST. LOUIS, MO
Sale Date	03/06/2026
Estimated Retail Value	$NaN