Lot 52766936 · VT - RUTLAND

2014 MERCEDES-BENZ E E350

VIN WDDHF8JB4EA816216

Current bid
$2,200
≈ €2,037

The vehicle

  • Year 2014
  • Make / model MERCEDES-BENZ E
  • Trim level E350
  • Body type Sedan/Saloon
  • Condition CERT OF TITLE-SALVAGE
  • VIN WDDHF8JB4EA816216
  • Engine E350 4Matic sedan ['12-'16] (3.5-liter M276 60° GDI V6)
  • Exterior color white
  • Odometer 108,916 mi (175,283 km)
  • Listing valid until 2026-08-24 17:00
Notes
Този Mercedes-Benz E-Class от 2014 г. е стилен и надежден седан, готов за нов собственик. Тежко увреждане на лявата предна врата. 🚗 2014 MERCEDES-BENZ E седан 📋 Основни характеристики: пробег в км: 175283 каросерия: седан цвят: бял ℹ️ Допълнителна информация: Няма налична 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 2014 Mercedes-Benz E is listed with a salvage title and an auction-designated primary damage classification of “SIDE.” The visible evidence supports the unverified side-damage classification: substantial damage is present on the driver-side front door and lower side area. The salvage-title status cannot be confirmed from exterior photographs. The driver-side front door has severe inward deformation, with multiple sharp creases, disturbed panel gaps, and dark and brown transfer marks along the lower section. The lower door edge and adjacent rocker area also show scraping, abrasion, paint transfer, and localized surface damage. The driver-side rear bumper corner has broad dark and brown scuff marks with visible paint transfer and a damaged surface finish. Repair requirements may include replacement or repair of the front door and assessment of the door structure, hinges, latch, surrounding body panels, rocker area, and bumper. A physical inspection is recommended to check for concealed structural, alignment, or operational damage before purchase.

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