Lot 60467036 · TN - NASHVILLE

2014 MERCEDES-BENZ GLK GLK350 4-MATIC

VIN WDCGG8JB9EG249530

Price
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The vehicle

  • Year 2014
  • Make / model MERCEDES-BENZ GLK
  • Trim level GLK350 4-MATIC
  • Body type Sport Utility Vehicle [SUV]/Multipurpose Vehicle [MPV]
  • Condition SALVAGE CERTIFICATE
  • VIN WDCGG8JB9EG249530
  • Drive type AWD/All-Wheel Drive
  • Engine GLK350 4Matic ['13-'15] (3.5-liter M276 60° GDI V6)
  • Exterior color gray
  • Odometer 159,431 mi (256,579 km)
  • Listing valid until още не е насрочена
Notes
Този GLK от 2014-та е готов за нов собственик и нови приключения. Има леки козметични щети по предната част. 🚗 2014 MERCEDES-BENZ GLK 📋 Основни характеристики: пробег в км: 256579 каросерия: джип цвят: сив ℹ️ Допълнителна информация: Няма налична информация.
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Damage assessment

Body zones

AI-detected zones are pre-marked below — click a zone to adjust its severity.

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Underbody
Condition assessment 1 AI-written variant

gpt-5.6-luna

The 2014 Mercedes-Benz GLK is listed with a salvage certificate, and the auction’s primary damage classification is “front end.” However, the provided Stage 1 assessment states that the visible evidence does not support a primary front-end damage classification: the grille, headlights, front bumper, and hood show no clear major damage. The assessment instead identifies localized scraping on the left front side and torn driver-seat upholstery. Visible exterior damage includes moderate gray and light-colored scraping with apparent paint loss around the rear edge of the left front fender, immediately behind the left front wheel, and along the lower front edge of the left front door. The driver’s seat lower cushion has a large torn and heavily abraded section, with exposed material and separated upholstery. Several minor dark scuff marks are also visible on the center-console armrest. The findings provided do not establish the condition of the vehicle’s mechanical, structural, or safety systems. A thorough physical inspection is recommended, particularly in view of the salvage title status and the discrepancy between the auction classification and the visible damage assessment.

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