Lot 58867816 · GA - TIFTON

2016 MERCEDES-BENZ GLC GLC300

VIN WDC0G4JB6GF016904

Price
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The vehicle

  • Year 2016
  • Make / model MERCEDES-BENZ GLC
  • Trim level GLC300
  • Body type Sport Utility Vehicle [SUV]/Multipurpose Vehicle [MPV]
  • Condition CERT OF TITLE-SALVAGE
  • VIN WDC0G4JB6GF016904
  • Horsepower 241 к.с.
  • Engine GLC300 2wd ['16-'19] (2.0-liter turbocharged GDI M274 I4)
  • Exterior color dark gray
  • Odometer 138,075 mi (222,210 km)
  • Listing valid until 2026-07-28 17:00
Notes
Този Mercedes-Benz GLC от 2016 г. е стилен и надежден SUV с пробег от 222 210 км. Умерени щети по задната част на автомобила. 🚗 2016 MERCEDES-BENZ GLC джип 📋 Основни характеристики: пробег в км: 222210 каросерия: джип цвят: тъмносив ℹ️ Допълнителна информация: Няма допълнителна информация.
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Damage assessment

Body zones

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Underbody
Condition assessment 1 AI-written variant

gpt-5.6-luna

The 2016 Mercedes-Benz GLC is listed by the auction with a salvage certificate of title and “REAR END” as the primary damage classification. The visible detached and downward-displaced rear bumper cover supports the stated rear-end damage claim; however, the salvage-title status cannot be confirmed from the photos. The rear bumper cover is severely separated from the vehicle, exposing the lower rear structure and mounting area. The visible-side rear quarter panel has moderate creasing, uneven deformation, and scuffed paint above and behind the wheel arch. The fuel-filler door is missing, leaving the filler opening and internal components exposed. A side-curtain airbag is visibly deployed, with airbag fabric hanging from the roofline and a deployed section visible along the side of the cabin. The front driver’s seat has a long tear across the cushion and a worn-through area on the outer bolster. A smaller tear is also visible on the lower section of the rear seat. The vehicle requires a thorough physical inspection, including assessment of the rear structure, bumper mounting points, airbag and restraint systems, fuel-filler area, and any related mechanical or electrical components.

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