Lot 59823876 · NC - RALEIGH NORTH

2015 MERCEDES-BENZ C 4-MATIC

VIN 55SWF4KB9FU036096

Price
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The vehicle

  • Year 2015
  • Make / model MERCEDES-BENZ C
  • Trim level 4-MATIC
  • Body type Sedan/Saloon
  • Condition SALVAGE CERTIFICATE OF TITLE
  • VIN 55SWF4KB9FU036096
  • Drive type AWD/All-Wheel Drive
  • Engine C300 4Matic sedan (2.0-liter turbocharged GDI M274 I4)
  • Exterior color black
  • Odometer 165,227 mi (265,906 km)
  • Listing valid until 2026-07-31 17:00
Notes
Мерцедес C-класа от 2015 година с пробег от 265 906 км. Тежки щети по предницата. 🚗 2015 MERCEDES-BENZ C седан 📋 Основни характеристики: пробег в км: 265906 каросерия: седан цвят: черен ℹ️ Допълнителна информация: няма налична информация
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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 certificate of title, and the auction’s primary damage classification is “FRONT END.” Stage 1 reports that the visible broken grille, damaged front bumper, and irregular hood front edge support the “FRONT END” classification. The salvage-title status cannot be confirmed from the photographs. The front-end damage is severe. The central grille assembly has large open areas, with multiple grille sections and surrounding components broken or missing, leaving internal components exposed. The front bumper cover and lower fascia have multiple cracks and tears, large gaps, and missing sections at both lower front corners. The front edge of the hood is irregular and raised in places, with uneven gaps above the damaged grille and bumper area. The interior also shows moderate upholstery wear. The driver’s seat cushion and outer bolster have multiple torn and worn-through areas, while the front passenger seat cushion has a visible tear or puncture with lighter-colored material exposed. Further inspection and repair-cost assessment are recommended, particularly for the exposed front-end components and the structural condition behind the visible damage.

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