Lot 55813636 · HI - HONOLULU

2018 MERCEDES-BENZ GLC GLC300

VIN WDC0G4JB6JV015796

Current bid
$25
≈ €23

The vehicle

  • Year 2018
  • Make / model MERCEDES-BENZ GLC
  • Trim level GLC300
  • Body type Sport Utility Vehicle [SUV]/Multipurpose Vehicle [MPV]
  • Condition CERTIFICATE OF SALVAGE
  • VIN WDC0G4JB6JV015796
  • Transmission Automatic · 9-ст.
  • Horsepower 241 к.с.
  • Engine GLC300 2wd ['16-'19] (2.0-liter turbocharged GDI M274 I4)
  • Exterior color dark blue
  • Odometer 56,045 mi (90,195 km)
  • Listing valid until 2026-08-11 01:00
Notes
Този Mercedes-Benz GLC от 2018 г. е готов за нов собственик! Тежки щети по предната част – липсваща броня, решетка и фарове. 🚗 2018 MERCEDES-BENZ GLC 📋 Основни характеристики: пробег в км: 90195 каросерия: джип цвят: тъмносин
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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 2018 Mercedes-Benz GLC is listed with a Certificate of Salvage and “FRONT END” as the auction’s primary-damage classification. Stage 1 reports that the visible front-end damage supports the stated primary-damage code; however, the salvage certificate status cannot be confirmed from photographs. The front bumper assembly is detached, with the bumper cover and attached grille and trim pieces showing multiple fractures, broken mounting points, and missing sections. The bumper cover, grille, and front fascia are absent from the vehicle, exposing the radiator, condenser area, reinforcement bar, and internal front-end mounting structures. The right front headlamp area has a visibly broken lens and damaged surrounding trim, with gaps and internal components exposed. The front edge of the hood is deformed or irregular, with uneven spacing above the headlamp and front fascia openings. The findings indicate severe collision damage to the front end. A physical inspection would be required to assess components not visible in the provided findings and to determine the full extent of repairs needed.

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