Lot 62351966 · FL - PUNTA GORDA

2018 MERCEDES-BENZ GLC GLC300

VIN WDC0G4JB5JV057134

Price
€13,100

The vehicle

  • Year 2018
  • Make / model MERCEDES-BENZ GLC
  • Trim level GLC300
  • Body type Sport Utility Vehicle [SUV]/Multipurpose Vehicle [MPV]
  • Condition CERTIFICATE OF TITLE
  • VIN WDC0G4JB5JV057134
  • Transmission Automatic · 9-ст.
  • Horsepower 241 к.с.
  • Exterior color black
  • Odometer 183,631 mi (295,525 km)
  • Listing valid until 2026-09-08 17:00
Notes
Този Mercedes-Benz GLC от 2018 г. е стилен и надежден SUV, готов за нови приключения. Леки козметични забележки. 🚗 2018 Mercedes-Benz GLC джип 📋 Основни характеристики: пробег в км: 295525 2.0L, 4 цилиндъра, 241 к.с. автоматична скоростна кутия ℹ️ Допълнителна информация: 9-степенна автоматична скоростна кутия каросерия: джип цвят: черен
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Condition assessment 1 AI-written variant

gpt-5.6-luna

The auction record lists the vehicle as having a Certificate of Title, with “minor dent/scratches” recorded as the primary damage. Stage 1 reports that the photos do not clearly show a minor dent or scratch as the primary exterior damage; therefore, this claim cannot be confirmed from the visible evidence. The documented visible damage is minor cosmetic wear on the driver’s seat outer side bolster. The black upholstery has a localized light-colored area that appears worn through or peeled. Several amber warning indicators are visible in the instrument cluster, including ABS, engine, parking-brake, and stability-related symbols. The underlying cause cannot be established from the available findings, so diagnostic scanning and a complete inspection of the braking, stability-control, and engine systems are recommended before purchase. According to the VIN decode, this is a 2018 Mercedes-Benz GLC-Class GLC300 SUV, built in Finland. It is equipped with a turbocharged 2.0-liter four-cylinder gasoline engine and a nine-speed automatic transmission. The VIN record does not provide a confirmed drive-type specification.

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