Lot 52748656 · DE - SEAFORD

2017 MERCEDES-BENZ GLE GLE350

VIN 4JGDA5JB1HA816888

Current bid
$300
≈ €278

The vehicle

  • Year 2017
  • Make / model MERCEDES-BENZ GLE
  • Trim level GLE350
  • Body type Sport Utility Vehicle [SUV]/Multipurpose Vehicle [MPV]
  • Condition CERT OF SALVAGE > 75% DAMAGE
  • VIN 4JGDA5JB1HA816888
  • 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 black
  • Odometer 102,918 mi (165,630 km)
  • Listing valid until 2026-07-21 17:00
Notes
Ето един стилен GLE, готов за нов живот! Тежък удар в предната част. 🚗 2017 MERCEDES-BENZ GLE джип 📋 Основни характеристики: пробег в км: 165630 цвят: черен ℹ️ Допълнителна информация: каросерия: джип
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Damage assessment

Body zones

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Underbody
Condition assessment 1 AI-written variant

gpt-5.6-luna

The vehicle is listed with a salvage certificate indicating “more than 75% damage,” with FRONT END recorded as the primary damage classification. The visible evidence supports the FRONT END classification: the front bumper cover and grille are missing, exposing the bumper reinforcement, radiator area, washer-fluid reservoir, and other front-end components. One headlamp assembly is also missing, leaving an open mounting cavity. The front-left fender is absent, exposing the wheel-arch and inner front-corner areas. The left front door has severe outer-panel deformation at the front edge and lower section, along with a large indentation and multiple creases. The exterior rocker trim is missing along the lower left side, leaving mounting points and the lower body edge exposed. The available photos support the auction’s FRONT END primary-damage code. However, they do not establish whether the vehicle has more than 75% total damage. A complete inspection should assess the underlying structural, suspension, cooling, electrical, and mechanical components before purchase.

Generated from auction photos by AI vision, then written up by an AI model. Findings are qualitative, not a certified inspection.