Lot 55530866 · NC - CHINA GROVE
2023 MERCEDES-BENZ GLC GLC300
VIN W1NKM4GB4PF026340
Current bid
$5,000
≈ €4,630
The vehicle
- Year 2023
- Make / model MERCEDES-BENZ GLC
- Trim level GLC300
- Body type Sport Utility Vehicle [SUV]/Multipurpose Vehicle [MPV]
- Condition SALVAGE CERTIFICATE OF TITLE
- VIN W1NKM4GB4PF026340
- Horsepower 255 к.с.
- Engine GLC300 2wd ['23-] (EQ Boost 48v Mild Hybrid: 2.0-liter turbocharged GDI M254)
- Exterior color silver
- Odometer 24,061 mi (38,722 km)
- Listing valid until още не е насрочена
Notes
Този Mercedes-Benz GLC от 2023 г. е стилен и модерен SUV с нисък пробег.
Има тежки щети по лявата задна врата и страничния праг, както и пукнатини на предното стъкло и спукана въздушна възглавница.
🚗 2023 Mercedes-Benz GLC джип
📋 Основни характеристики:
пробег: 38 722 км
каросерия: джип
цвят: сребрист
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
The auction record lists the vehicle as having a salvage certificate of title, with “SIDE” recorded as the primary damage classification. Stage 1 reports that the visible damage supports the SIDE classification because substantial damage is present on the left rear door and adjacent side sill; however, the salvage certificate status cannot be confirmed from the photographs.
The left rear door has a large, severe inward dent with multiple sharp creases across the lower and middle sections. The adjacent lower side sill is visibly deformed and has dark scuffing. The front windshield has multiple branching cracks across the upper and central areas. A curtain airbag is visibly deployed and hanging from the roof area above the left-side seating, indicating that the restraint system requires inspection and likely repair or replacement.
A thorough physical inspection should be completed to assess possible structural, electrical, restraint-system, glass, and door-function issues, as well as the full extent of repairs required.
Generated from auction photos by AI vision, then written up by an AI model. Findings are qualitative, not a certified inspection.