Lot 54681266 · OH - DAYTON

2016 MERCEDES-BENZ C C300-4M

VIN 55SWF4KB5GU118764

Current bid
$575
≈ €532

The vehicle

  • Year 2016
  • Make / model MERCEDES-BENZ C
  • Trim level C300-4M
  • Body type Sedan/Saloon
  • Condition CERT OF TITLE-SALVAGE
  • VIN 55SWF4KB5GU118764
  • Engine C300 4Matic sedan (2.0-liter turbocharged GDI M274 I4)
  • Exterior color dark blue
  • Odometer 133,785 mi (215,306 km)
  • Listing valid until 2026-07-22 17:00
Notes
Този Mercedes-Benz C-Class от 2016 г. е чудесна възможност за всеки, който търси надежден и стилен седан. Тежка щета в предната част. 🚗 2016 MERCEDES-BENZ C-Class седан 📋 Основни характеристики: пробег: 215 306 км двигател: 2.0 L, 4 цилиндъра, 241 к.с. задвижване: задно ℹ️ Допълнителна информация: скоростна кутия: автоматична, 7-степенна цвят: тъмносин
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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 a 2016 Mercedes-Benz C-Class listed with a salvage certificate of title. The auction’s stated primary damage is FRONT END. Stage 1 reports that the visible missing front-end components and exposed front cooling area support this primary-damage claim; however, salvage-title status cannot be confirmed from photographs. The front bumper cover is missing, leaving the bumper reinforcement, cooling components, wiring, and mounting areas exposed. The center front grille and lower front air-intake trim are also absent, with the radiator and condenser area visible through the opening. The front right headlamp assembly is missing, and wiring and mounting components are exposed in that area. Inside the vehicle, the front passenger seat has a distinct linear tear in the lower cushion upholstery. A separate dark, irregular split or tear is visible across the front portion of the driver’s seat lower cushion. A thorough inspection should be performed to assess the condition of the exposed front-end components, wiring, cooling system, mounting points, and any additional 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.