Lot 58019466 · NC - GASTONIA
2018 MERCEDES-BENZ GLE GLE350
VIN 4JGDA5JB7JB054621
Current bid
$225
≈ €208
Archive
The vehicle
- Year 2018
- Make / model MERCEDES-BENZ GLE
- Trim level GLE350
- Body type Sport Utility Vehicle [SUV]/Multipurpose Vehicle [MPV]
- Condition SALVAGE CERTIFICATE OF TITLE
- VIN 4JGDA5JB7JB054621
- Transmission Automatic · 7-ст.
- Horsepower 302 к.с.
- Steering location Left-Hand Drive (LHD)
- Exterior color white
- Odometer 126,942 mi (204,293 km)
- Listing valid until 2026-08-12 17:00
Notes
Този Mercedes-Benz GLE от 2018 г. е стилен и мощен SUV, готов за нов собственик.
Умерени щети по предната част.
🚗 2018 Mercedes-Benz GLE SUV
📋 Основни характеристики:
пробег в км: 204293
3.0L, 6 цилиндъра, 302 к.с.
задвижване: 4x4
ℹ️ Допълнителна информация:
автоматична скоростна кутия, 7 скорости
каросерия: джип
цвят: бял
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Damage assessment
Body zones
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Underbody
Condition assessment
The auction record lists a salvage certificate of title and identifies the primary damage as FRONT END. Stage 1 reports that the visible front bumper and hood damage supports the stated FRONT END classification; however, the salvage-title status cannot be confirmed from the available photos.
Visible damage includes a large missing section across the lower center of the front bumper, with jagged bumper-cover edges and components exposed behind it. The lower bumper cover on the left side also has a torn or broken edge and an opening near the corner. A crease and localized dent are present along the front edge of the hood near the center emblem, accompanied by dark scuffing and chipped or abraded paint.
The VIN decodes this vehicle as a 2018 Mercedes-Benz GLE-Class GLE350 SUV, equipped with a 3.5-liter M276 gasoline V6 engine, seven-speed automatic transmission, and left-hand drive. The vehicle was manufactured in the United States. The provided findings are limited to visible exterior damage; the condition of concealed components, mechanical systems, and the vehicle’s title documentation requires separate verification.
Generated from auction photos by AI vision, then written up by an AI model. Findings are qualitative, not a certified inspection.