Lot 60297526 · NJ - TRENTON

2014 MERCEDES-BENZ E E350

VIN WDDHF8JB9EA879604

Current bid
$300
≈ €278

The vehicle

  • Year 2014
  • Make / model MERCEDES-BENZ E
  • Trim level E350
  • Body type Sedan/Saloon
  • Condition CERT OF TITLE-SALVAGE
  • VIN WDDHF8JB9EA879604
  • Engine E350 4Matic sedan ['12-'16] (3.5-liter M276 60° GDI V6)
  • Exterior color silver
  • Odometer 114,004 mi (183,471 km)
  • Listing valid until още не е насрочена
Notes
Този Mercedes-Benz E-Class от 2014 г. е стилен и надежден седан, готов за нов собственик. Умерени щети по предната част. 🚗 2014 MERCEDES-BENZ E-Class седан 📋 Основни характеристики: пробег: 183 471 км ℹ️ Допълнителна информация: каросерия: седан цвят: сребрист
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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 vehicle is a 2014 Mercedes-Benz E-Class listed with a salvage title designation and an auction-reported primary damage classification of FRONT END. Stage 1 reports that the visible front-end damage supports the stated primary-damage classification; however, the CERT OF TITLE-SALVAGE status cannot be confirmed from the photographs. Visible damage is concentrated at one front corner. The front bumper cover is cracked, torn, heavily scuffed, and has a large open section where bumper trim or an insert is missing. The adjacent headlamp assembly has broken or missing outer lens and housing material, leaving internal components exposed. The front fender edge near the headlamp and bumper junction is deformed and scuffed, and the corresponding hood corner shows visible creasing and deformation. Additional lower bumper trim, such as a grille, cover, or lamp-related piece, is absent from the damaged corner. The findings indicate moderate visible collision damage to the front bumper, headlamp, fender, hood corner, and lower bumper trim. A physical inspection would be required to assess any damage or issues 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.