Lot 56277646 · GA - FAIRBURN

2019 MERCEDES-BENZ C C300

VIN 55SWF8DBXKU295467

Price
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The vehicle

  • Year 2019
  • Make / model MERCEDES-BENZ C
  • Trim level C300
  • Body type Sedan/Saloon
  • Condition CERT OF TITLE SLVG REBUILDABLE
  • VIN 55SWF8DBXKU295467
  • Drive type RWD/Rear-Wheel Drive
  • Transmission Automatic · 7-ст.
  • Horsepower 255 к.с.
  • Engine C300 sedan (2.0-liter turbocharged GDI M264 I4)
  • Steering location Left-Hand Drive (LHD)
  • Exterior color dark blue-gray
  • Odometer 92,335 mi (148,598 km)
  • Listing valid until 2026-07-27 17:00
Notes
Този Mercedes-Benz C-Class от 2019 г. е стилен седан с елегантен тъмносив цвят. Умерени щети по лявата страна на автомобила. 🚗 2019 Mercedes-Benz C-Class седан 📋 Основни характеристики: пробег: 148 598 км каросерия: седан ℹ️ Допълнителна информация: цвят: тъмносив
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Damage assessment

Body zones

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Underbody
Condition assessment 1 AI-written variant

gpt-5.6-luna

The vehicle is listed with a salvage/rebuildable title and the auction’s primary-damage classification is SIDE. Stage 1 reports that the extensive visible dents and creases on the vehicle’s side support the SIDE damage code; however, the salvage/rebuildable title status cannot be confirmed from photographs. Visible damage includes moderate inward dents and creases across the middle and lower sections of the front door and around the handle area of the rear door, extending toward the lower edge. The visible-side rear quarter panel also has a large irregular dent with sharp creases above and ahead of the rear wheel opening, continuing toward the rear bumper seam. The front bumper corner has minor surface scuffing. Inside, the black front seat upholstery is torn and abraded along the outer bolster and lower front edge. The supplied findings do not provide information about mechanical, structural, electrical, or underbody condition. A physical inspection is recommended before purchase, including verification of the title status and assessment of repairs to the affected side.

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