Lot 54592646 · RI - EXETER

2016 MERCEDES-BENZ E E350-4M

VIN WDDHF8JB2GB249260

Current bid
$125
≈ €116

The vehicle

  • Year 2016
  • Make / model MERCEDES-BENZ E
  • Trim level E350-4M
  • Body type Sedan/Saloon
  • Condition SALVAGE CERTIFICATE OF TITLE
  • VIN WDDHF8JB2GB249260
  • Drive type AWD/All-Wheel Drive
  • Engine E350 4Matic sedan ['12-'16] (3.5-liter M276 60° GDI V6)
  • Exterior color dark blue
  • Odometer 95,429 mi (153,578 km)
  • Listing valid until 2026-07-21 17:00
Notes
Този Mercedes-Benz E-Class е стилен и надежден седан от 2016 година с пробег от 153 578 км. Тежко увреждане на предния десен ъгъл. 🚗 2016 MERCEDES-BENZ E седан 📋 Основни характеристики: пробег: 153 578 км каросерия: седан цвят: тъмносин ℹ️ Допълнителна информация:
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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 1 AI-written variant

gpt-5.6-luna

The 2016 Mercedes-Benz E is listed with a salvage certificate of title and a FRONT END primary-damage classification. The visible damage is consistent with the stated primary-damage claim, although the salvage title itself cannot be confirmed from the photographs alone. The front right corner has sustained severe collision damage. The fender is heavily crushed and creased, with missing or exposed material around the wheel opening and headlamp area. The front right headlamp assembly is broken, including a fractured lens and exposed internal components. The bumper corner is extensively crushed and torn, with cracked, displaced, and missing sections. The front right edge and corner of the hood are also moderately deformed, with creasing, scraped paint, and irregular shaping adjacent to the damaged fender and lamp area. Additional missing body and bumper material leaves broken edges and exposed components. A physical inspection would be required to assess any damage behind the visible exterior panels and to determine the full repair scope, parts requirements, and roadworthiness.

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