Lot 58128286 · TX - FT. WORTH

2016 MERCEDES-BENZ GLC GLC300

VIN WDC0G4JB9GF028447

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 SALVAGE VEHICLE TITLE
  • VIN WDC0G4JB9GF028447
  • Horsepower 241 к.с.
  • Engine GLC300 2wd ['16-'19] (2.0-liter turbocharged GDI M274 I4)
  • Exterior color white
  • Odometer 0 mi (0 km)
  • Listing valid until още не е насрочена
Notes
Този Mercedes-Benz GLC от 2016 г. е стилен и надежден SUV, готов за нов собственик. Умерени щети по задната част на автомобила. 🚗 2016 Mercedes-Benz GLC джип 📋 Основни характеристики: 2016 година Бял цвят ℹ️ Допълнителна информация: Каросерия: джип
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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 vehicle is listed with a salvage vehicle title, and the auction’s primary-damage classification is REAR END. Stage 1 reports that visible damage to the rear bumper and lower tailgate supports the stated REAR END classification; however, the salvage-title status cannot be confirmed from the photographs. The main visible damage is concentrated at the rear. The lower-right rear bumper has scuffing, deformation, an open or separated section, and displaced lower trim, including a visible gap near the right exhaust outlet. The lower tailgate has multiple dark scuff marks and scratches, with an irregularly deformed edge above the bumper. There is also minor surface scuffing and paint-transfer-like discoloration on the left side of the front bumper below and beside the left headlamp. Inside the vehicle, a large section of the rear roof headliner is torn and missing, exposing roof components, wiring, and underlying material. A physical inspection is recommended to assess the bumper mounting structure, tailgate alignment, exposed roof components, wiring, and any damage not visible in the provided findings.

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