Lot 59346136 · KS - KANSAS CITY

2012 MERCEDES-BENZ GLK GLK350 4-MATIC

VIN WDCGG8HB7CF726173

Price
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The vehicle

  • Year 2012
  • Make / model MERCEDES-BENZ GLK
  • Trim level GLK350 4-MATIC
  • Body type Sport Utility Vehicle [SUV]/Multipurpose Vehicle [MPV]
  • Condition SALVAGE CERTIFICATE OF TITLE
  • VIN WDCGG8HB7CF726173
  • Drive type AWD/All-Wheel Drive
  • Engine GLK350 4Matic ['10-'12] (3.5-liter M272 90° V6)
  • Exterior color dark brown
  • Odometer 192,146 mi (309,228 km)
  • Listing valid until 2026-08-06 20:00
Notes
Този Mercedes-Benz GLK от 2012 г. е стилен и надежден джип с пробег от 309 228 км. Умерен удар в предната част. 🚗 2012 MERCEDES-BENZ GLK джип 📋 Основни характеристики: пробег: 309 228 км каросерия: джип цвят: тъмнокафяв
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Damage assessment

Body zones

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Underbody
Condition assessment 1 AI-written variant

gpt-5.6-luna

The vehicle is listed with a salvage certificate of title, and the auction’s primary damage designation is “front end.” Stage 1 reports that the available photos partially support this designation: localized deformation is visible at the left front fender and hood corner, but the photos do not show extensive or severe front-end damage. Visible damage includes moderate denting and sharp creasing to the left front fender around the upper wheel arch and headlamp area, along with additional deformation at the front-left corner of the hood above the headlamp. Light-colored paint scuffing is also present on the left front fender near the headlamp. At the rear, the liftgate has broad horizontal deformation and a pronounced crease below the Mercedes emblem and above the license-plate recess. A rectangular opening is visible in the lower-right rear bumper where a cover or insert is missing. The findings indicate localized collision damage at both the front and rear of the vehicle. A thorough physical inspection is recommended to assess any underlying structural, mechanical, lighting, alignment, or safety-system issues that cannot be confirmed from the available findings.

Generated from auction photos by AI vision, then written up by an AI model. Findings are qualitative, not a certified inspection.