Lot 61155516 · WA - PASCO
2019 MERCEDES-BENZ GLC GLC 300-4M
VIN WDC0G4KB7KV123683
Price
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The vehicle
- Year 2019
- Make / model MERCEDES-BENZ GLC
- Trim level GLC 300-4M
- Body type Sport Utility Vehicle [SUV]/Multipurpose Vehicle [MPV]
- Condition BILL OF SALE
- VIN WDC0G4KB7KV123683
- Drive type AWD/All-Wheel Drive
- Transmission Automatic · 9-ст.
- Horsepower 241 к.с.
- Steering location Left-Hand Drive (LHD)
- Odometer 113,644 mi (182,892 km)
- Listing valid until 2026-07-24 22:00
Notes
Този Mercedes-Benz GLC от 2019 г. е стилен и мощен SUV, готов за нови приключения.
Умерени щети по предната част.
🚗 2019 Mercedes-Benz GLC 300 4MATIC
📋 Основни характеристики:
пробег в км: 182892
2.0L, 4 цилиндъра, 241 к.с.
задвижване: 4x4
ℹ️ Допълнителна информация:
скоростна кутия: автоматична, 9 скорости
каросерия: джип
цвят: неизвестен
ключове: неизвестен брой
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Damage assessment
Body zones
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Underbody
Condition assessment
The auction record lists the vehicle’s condition as “BILL OF SALE” and the primary damage as “FRONT END.” These are auction designations and should not be treated as independently verified conclusions.
The documented finding is a missing front bumper cover at the front exterior, below the engine compartment. The radiator and front cooling components are exposed. The damage is rated moderate. Stage 1 reports that the photograph shows the missing bumper cover and exposed front-end components, but no clear collision deformation is visible. Its assessment is that this supports front-end disassembly or damage, but does not confirm the full “FRONT END” claim or the “BILL OF SALE” condition.
According to the VIN decode, this is a 2019 Mercedes-Benz GLC-Class GLC 300 4M SUV with all-wheel drive, a 2.0-liter turbocharged four-cylinder gasoline engine, and a nine-speed automatic transmission. The vehicle was manufactured in Finland. Further inspection is recommended to determine whether any components behind the missing bumper cover are damaged or require replacement.
Generated from auction photos by AI vision, then written up by an AI model. Findings are qualitative, not a certified inspection.