Lot 54262356 · GA - CARTERSVILLE
2018 MERCEDES-BENZ GLE GLE350
VIN 4JGDA5JB7JB002860
Current bid
$6,600
≈ €6,111
The vehicle
- Year 2018
- Make / model MERCEDES-BENZ GLE
- Trim level GLE350
- Body type Sport Utility Vehicle [SUV]/Multipurpose Vehicle [MPV]
- Condition CERT OF TITLE-SALVAGE
- VIN 4JGDA5JB7JB002860
- Transmission Automatic · 7-ст.
- Horsepower 302 к.с.
- Engine ML350 2wd ['13-'15], GLE350 2wd ['16-'18] (3.5-liter M276 60° GDI V6)
- Steering location Left-Hand Drive (LHD)
- Exterior color gray
- Odometer 204,123 mi (328,503 km)
- Listing valid until 2026-09-29 04:00
Notes
Този Mercedes-Benz GLE от 2018 г. е готов за нов собственик.
Тежки щети по предницата.
🚗 2018 MERCEDES-BENZ GLE джип
📋 Основни характеристики:
пробег в км: 328503
цвят: сив
ℹ️ Допълнителна информация:
каросерия: джип
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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 vehicle is listed with a salvage certificate of title, and the auction’s primary-damage designation is “FRONT END.” Stage 1 reports that the visible evidence supports this unverified damage claim: the front bumper cover, grille, and both headlamp assemblies are missing, and the front edge of the hood is visibly deformed. The salvage-title status cannot be confirmed from the photographs.
The complete front bumper cover and grille assembly are absent, exposing the bumper reinforcement, cooling components, radiator and condenser surfaces, horns, wiring, hoses, mounting hardware, and other inner front-end components. Both front headlamp assemblies are missing, with open mounting areas and wiring visible at the front corners. Plastic corner trim and portions of the wheel-arch liners are also absent or torn away.
The hood has an irregular, wavy front edge with localized creasing near both front corners. Overall, the vehicle has substantial front-end collision damage and is missing several major exterior components. A thorough physical inspection is recommended to assess the condition of the exposed components and determine the complete repair requirements.
Generated from auction photos by AI vision, then written up by an AI model. Findings are qualitative, not a certified inspection.