Lot 57254266 · MO - ST. LOUIS
2016 MERCEDES-BENZ E E350-4M
VIN WDDHF8JB8GB254303
Current bid
$500
≈ €463
Archive
The vehicle
- Year 2016
- Make / model MERCEDES-BENZ E
- Trim level E350-4M
- Body type Sedan/Saloon
- Condition SALVAGE CERTIFICATE OF TITLE
- VIN WDDHF8JB8GB254303
- Drive type AWD/All-Wheel Drive
- Exterior color silver
- Odometer 55,045 mi (88,586 km)
- Listing valid until 2026-08-07 20:00
Notes
Този Mercedes-Benz E-Class от 2016 г. е стилен седан с 4x4 задвижване и пробег от едва 88 586 км.
Умерени щети по предната броня.
🚗 2016 Mercedes-Benz E-Class седан
📋 Основни характеристики:
пробег: 88 586 км
задвижване: 4x4
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
The auction records list a **SALVAGE CERTIFICATE OF TITLE** and classify the primary damage as **FRONT END**. Stage 1 reported that the visible front bumper damage supports the stated FRONT END classification; however, the salvage-title status cannot be confirmed or contradicted from exterior photographs alone.
The documented damage is concentrated at the front bumper. The lower bumper cover has broken and displaced sections at the lower center and vehicle-left lower corner, with a long trim or bumper piece detached and hanging below the vehicle. Parts of the lower bumper trim or spoiler are missing, and detached fragments are visible beneath the front bumper. The bumper face and lower corners also show multiple scuffs and scrape marks. Overall, the bumper-related damage ranges from minor cosmetic scuffing to moderate collision damage. The condition of components behind the bumper, including mounting points and any mechanical or safety systems, is not established by these findings and should be inspected before purchase.
According to the VIN decode, this is a 2016 Mercedes-Benz E-Class E350-4M sedan built in Germany. It is specified with all-wheel drive, a 3.5-liter six-cylinder gasoline engine, and direct tire-pressure monitoring.
Generated from auction photos by AI vision, then written up by an AI model. Findings are qualitative, not a certified inspection.