Lot 59687566 · NC - RALEIGH NORTH

2014 MERCEDES-BENZ GLK GLK350 4-MATIC

VIN WDCGG8JBXEG212860

Current bid
$275
≈ €255

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 OF TITLE
  • VIN WDCGG8JBXEG212860
  • Drive type AWD/All-Wheel Drive
  • Engine GLK350 4Matic ['13-'15] (3.5-liter M276 60° GDI V6)
  • Exterior color white
  • Odometer 91,140 mi (146,675 km)
  • Listing valid until 2026-08-07 17:00
Notes
Този GLK е стилен и надежден джип от 2014 година. Тежка щета в предната част. 🚗 2014 MERCEDES-BENZ GLK 📋 Основни характеристики: пробег в км: 146675 каросерия: джип цвят: бял ℹ️ Допълнителна информация:
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 vehicle is a 2014 Mercedes-Benz GLK with a salvage certificate of title. The auction lists the primary damage as front-end damage. Stage 1 reports that the visible evidence supports this claim: the front bumper cover, grille, both headlamp assemblies, and multiple front fascia components are missing, and the leading edge of the hood is visibly creased and deformed. The missing bumper cover exposes the bumper reinforcement, lower components, and wiring. The absent headlamps leave the front corner housings and internal components exposed. Detached lamp housings and black plastic fascia parts are also visible on the ground in front of the vehicle. These components will require replacement, and the exposed areas should be inspected for additional damage that is not identifiable from the provided findings. Inside the vehicle, the outer bolster of the front driver’s seat shows surface abrasion and a small worn-through area. No other findings were provided.

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