Lot 54733386 · MD - BALTIMORE EAST

2016 MERCEDES-BENZ E E350-4M

VIN WDDHF8JB1GB220963

Current bid
$1,100
≈ €1,019

The vehicle

  • Year 2016
  • Make / model MERCEDES-BENZ E
  • Trim level E350-4M
  • Body type Sedan/Saloon
  • Condition CERTIFICATE OF TITLE
  • VIN WDDHF8JB1GB220963
  • Drive type AWD/All-Wheel Drive
  • Engine E350 4Matic sedan ['12-'16] (3.5-liter M276 60° GDI V6)
  • Exterior color dark gray
  • Odometer 128,752 mi (207,206 km)
  • Listing valid until 2026-07-30 04:00
Notes
Този Mercedes-Benz E-Class от 2016 г. е стилен и надежден седан, готов за новия си собственик. Леки повреди по задната броня и лявото задно крило. 🚗 2016 Mercedes-Benz E-Class седан 📋 Основни характеристики: пробег в км: 207206 задвижване: 4x4 ℹ️ Допълнителна информация: каросерия: седан цвят: тъмносив
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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 auction record lists the vehicle as having a **Certificate of Title** and classifies the primary damage as **minor dents/scratches**. Stage 1 reports that the certificate-of-title status cannot be confirmed from the photos. The visible evidence supports minor exterior scuffing, but a protruding or detached exterior component is also visible; therefore, the photos do not fully support a damage description limited to minor dents and scratches. The visible damage includes a narrow exterior piece protruding from the left rear quarter-panel area, forward of the rear wheel. The exact component cannot be identified from the available image. Light abrasion marks and an orange-colored paint-transfer mark are also visible on the left side and lower central area of the rear bumper. According to the VIN decode, this is a 2016 Mercedes-Benz E-Class E350-4M sedan with all-wheel drive, a 3.5-liter six-cylinder gasoline engine, and a German-built passenger-car specification. A physical inspection is recommended to identify and secure or replace the protruding trim/component and to check for any damage behind the affected exterior areas.

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