Lot 60669986 · TX - DALLAS

2018 MERCEDES-BENZ GLC GLC300

VIN WDC0G4JB7JF476418

Price
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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 WDC0G4JB7JF476418
  • Transmission Automatic · 9-ст.
  • Horsepower 241 к.с.
  • Engine GLC300 2wd ['16-'19] (2.0-liter turbocharged GDI M274 I4)
  • Exterior color white
  • Odometer 108,818 mi (175,125 km)
  • Listing valid until 2026-08-27 20:00
Engine sound

Engine start-up clip from the auction listing -- not an independent inspection.

Notes
Този Mercedes-Benz GLC от 2018 г. е стилен и надежден SUV, готов за нов собственик. Умерен удар от лявата страна, засягащ вратите и праговете. Двигателят показва леко почукване, което се променя с оборотите, и понякога неравномерен празен ход. 🚗 Mercedes-Benz GLC 2018 г. 📋 Основни характеристики: пробег 175125 км каросерия джип ℹ️ Допълнителна информация: цвят бял
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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 2018 Mercedes-Benz GLC. The auction records list the primary damage as “SIDE,” and the visible findings support this classification. The auction condition is listed as “CERTIFICATE OF TITLE,” although this status cannot be confirmed from the available photographs. The left rear door has a broad inward dent with multiple horizontal creases across the lower and middle sections. The left front door also has a large inward dent, pronounced creasing, and surface scuffing near its lower edge. The rocker panel below the left-side doors shows deformation, scraping, and irregularity. A side-curtain airbag is visibly deployed and hanging inside the left front side-window area, indicating severe damage in that area. A thorough physical inspection and assessment of the airbag system, door and rocker-panel structure, electrical systems, and vehicle title documentation are recommended before purchase.

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