Lot 53041866 · FL - MIAMI CENTRAL
2016 MERCEDES-BENZ GLE GLE350
VIN 4JGDA5HB2GA731658
Current bid
$550
≈ €509
Archive
The vehicle
- Year 2016
- Make / model MERCEDES-BENZ GLE
- Trim level GLE350
- Body type Sport Utility Vehicle [SUV]/Multipurpose Vehicle [MPV]
- Condition CERT OF TITLE SLVG REBUILDABLE
- VIN 4JGDA5HB2GA731658
- Horsepower 302 к.с.
- Engine ML350 4Matic ['12-'15], GLE350 4Matic ['16-'18] (3.5-liter M276 60° V6)
- Exterior color white
- Odometer 122,146 mi (196,574 km)
- Listing valid until 2026-07-20 17:00
Notes
Този GLE е истинска находка за 2016 година – просторен и стилен джип, готов за нов живот.
Тежък удар в предната част.
🚗 2016 MERCEDES-BENZ GLE джип
📋 Основни характеристики:
пробег 196574 км
ℹ️ Допълнителна информация:
цвят бял
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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 2016 Mercedes-Benz GLE is listed with a salvage/rebuildable certificate of title, with “FRONT END” recorded as the auction’s primary damage classification. The visible front-left collision damage supports this primary-damage code; however, the salvage/rebuildable title status cannot be confirmed from exterior photographs.
The front-left fender is severely crushed and folded around the wheel arch and headlamp area. The panel edges are distorted, and exposed gaps are visible. The front-left bumper corner and lower bumper have extensive cracking, torn edges, scraped paint, and missing sections. The front-left headlamp assembly is severely damaged, with outer lens and housing sections damaged or absent and internal components exposed. The lower front-left bumper opening is incomplete, with missing trim or an insert and exposed mounting areas. The front-left corner of the hood has a raised, uneven edge with a crease and an irregular gap adjoining the damaged headlamp and fender.
The extent of the visible damage indicates that the front-left exterior requires substantial repair or replacement. Further physical inspection would be necessary to assess any damage not visible in the provided findings.
Generated from auction photos by AI vision, then written up by an AI model. Findings are qualitative, not a certified inspection.