Lot 59034046 · IL - CHICAGO NORTH

2014 MERCEDES-BENZ GLK GLK350 4-MATIC

VIN WDCGG8JB7EG284874

Price
Contact for pricing

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 WDCGG8JB7EG284874
  • Drive type AWD/All-Wheel Drive
  • Engine GLK350 4Matic ['13-'15] (3.5-liter M276 60° GDI V6)
  • Exterior color red
  • Odometer 63,120 mi (101,582 km)
  • Listing valid until още не е насрочена
Notes
Стилен и надежден Mercedes-Benz GLK от 2014 година. Умерени щети по задната част. 🚗 2014 Mercedes-Benz GLK джип 📋 Основни характеристики: пробег в км: 101582 двигател: 2.1 L, 4 цилиндъра, 170 к.с. задвижване: 4x4 (AWD) ℹ️ Допълнителна информация: каросерия: джип цвят: червен
Make an offer or ask a question

Log in to make an offer or ask a question about this car. Log in

Damage assessment

Body zones

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

Top
Underbody
Condition assessment 1 AI-written variant

gpt-5.6-luna

The 2014 Mercedes-Benz GLK is listed with a Salvage Certificate, with “Rear End” recorded as the auction’s primary-damage classification. Stage 1 reports that the visible lower rear bumper damage, including broken or missing components, supports the stated rear-end claim; however, the salvage-certificate status cannot be confirmed from the exterior photos alone. The right front lower bumper cover has multiple prominent white scuff marks, scraped paint, and localized surface gouging, assessed as moderate damage. The lower rear bumper has multiple scrape marks and damaged areas across the lower center and left side. Parts of the lower rear bumper assembly are broken or missing, with internal components visible and a loose piece hanging below the bumper. This rear bumper component damage is assessed as severe. A physical inspection is recommended to determine the full extent of any additional damage and to verify the vehicle’s structural and mechanical condition.

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