Lot 60853826 · AB - EDMONTON
2015 MERCEDES-BENZ GL GL450
VIN 4JGDF6EE3FA596503
Current bid
C$125
≈ €84
Archive
The vehicle
- Year 2015
- Make / model MERCEDES-BENZ GL
- Trim level GL450
- Body type Sport Utility Vehicle [SUV]/Multipurpose Vehicle [MPV]
- Condition BOS - REBUILT
- VIN 4JGDF6EE3FA596503
- Drive type AWD/All-Wheel Drive
- Exterior color dark blue
- Odometer 197,492 mi (317,832 km)
- Listing valid until 2026-07-23 21:00
Notes
Този Mercedes-Benz GL от 2015 г. е просторен и надежден SUV, готов за нови приключения.
Има леки козметични забележки по интериора.
🚗 2015 Mercedes-Benz GL, джип
📋 Основни характеристики:
пробег: 317 832 км
задвижване: 4x4
ℹ️ Допълнителна информация:
каросерия: джип
цвят: тъмносин
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Damage assessment
Body zones
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Underbody
Condition assessment
The auction records list the vehicle as “BOS – REBUILT” with “FRONT END” as the primary-damage classification. These are unverified auction designations. Stage 1’s photo-based assessment states that the visible photos do not support the FRONT END claim: the front bumper, grille, hood, headlights, and surrounding panels show no clearly visible collision deformation or broken parts. A rebuilt title or condition status could not be confirmed from the photos.
The documented damage is limited to interior cosmetic wear. The front driver’s seat outer bolster has pronounced creasing, wrinkling, and surface abrasion, rated moderate. The second-row and third-row leather seat cushions show surface creasing and localized or light scuffing, rated minor. A localized discolored and abraded area is also visible on the top of the center armrest.
According to the VIN decoding, this is a 2015 Mercedes-Benz GL-Class GL450 SUV with all-wheel drive, a 3.0-liter six-cylinder gasoline engine, and a GVWR in the 7,001–8,000 lb class. The vehicle was manufactured by Mercedes-Benz USA in Vance, Alabama. The VIN decoded cleanly, including a valid check digit. No mechanical or structural condition was established by the provided findings; a thorough physical inspection is recommended, particularly in view of the auction’s rebuilt designation.
Generated from auction photos by AI vision, then written up by an AI model. Findings are qualitative, not a certified inspection.