Lot 52513876 · IL - CHICAGO NORTH

2014 MERCEDES-BENZ C C300 4 MATIC

VIN WDDGF8AB8EG243569

Current bid
$300
≈ €278

The vehicle

  • Year 2014
  • Make / model MERCEDES-BENZ C
  • Trim level C300 4 MATIC
  • Body type Sedan/Saloon
  • Condition SALVAGE CERTIFICATE
  • VIN WDDGF8AB8EG243569
  • Drive type AWD/All-Wheel Drive
  • Engine C300 4Matic sedan (3.5-liter M276 60° GDI V6)
  • Exterior color silver
  • Odometer 57,264 mi (92,157 km)
  • Listing valid until 2026-07-21 20:00
Notes
Този Mercedes C-Class от 2014 г. е стилен седан със сребрист цвят и пробег от 92 157 км. Умерени щети по лявата страна на автомобила. 🚗 2014 MERCEDES-BENZ C-Class седан 📋 Основни характеристики: пробег в км: 92157 каросерия: седан цвят: сребрист ℹ️ Допълнителна 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 2014 Mercedes-Benz C is listed with a SALVAGE CERTIFICATE, and the auction’s primary damage classification is SIDE. Stage 1 reports that the visible side-impact damage supports the SIDE classification; however, the SALVAGE CERTIFICATE status cannot be confirmed from photographs. Visible damage is concentrated on the left side. The left front door has a large inward dent with multiple sharp creases across the middle and lower sections, along with scraped and discolored areas. The left rear door also shows inward deformation and creasing along its front and lower sections, with scuffed paint on the outer panel. A broad dented and creased area extends from the left rear door into the adjacent rear quarter panel, with white scrape marks and paint discoloration above and ahead of the left rear wheel. The findings document moderate exterior collision damage. The condition of the vehicle’s mechanical systems, structural components, interior, and any damage not visible in the provided findings has not been established and should be checked through a physical inspection.

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