Lot 57864116 · CA - SAN JOSE
2015 MERCEDES-BENZ E E350
VIN WDDHF5KB5FB083344
Current bid
$525
≈ €486
Archive
The vehicle
- Year 2015
- Make / model MERCEDES-BENZ E
- Trim level E350
- Body type Sedan/Saloon
- Condition NON-REPAIRABLE VEHICLE CERT
- VIN WDDHF5KB5FB083344
- Engine E350 sedan ['12-'16] (3.5-liter M276 60° GDI V6)
- Exterior color dark blue
- Odometer 171,948 mi (276,723 km)
- Listing valid until 2026-09-01 22:00
Notes
Елегантен тъмносин седан от 2015 година.
Умерен страничен удар.
🚗 2015 MERCEDES-BENZ E седан
📋 Основни характеристики:
пробег в км: 276723
каросерия: седан
цвят: тъмносин
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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 2015 Mercedes-Benz E is listed by the auction as a “NON-REPAIRABLE VEHICLE CERT,” with “SIDE” recorded as the primary damage classification. The visible evidence does support side-related exterior damage, including multiple scratches, scuff marks, paint abrasion, and localized dents across the front and rear doors, lower side molding, rocker panel, front fender, and adjacent bumper areas. A localized dent is also visible around the rear door and rear quarter panel. The front and rear bumper corners show additional scuffing and paint damage.
Stage 1’s assessment is that the visible evidence supports the side-damage classification, but the provided photos do not show sufficient structural or other evidence to confirm that the vehicle is non-repairable. The auction’s non-repairable designation should therefore be treated as an auction claim requiring verification.
The interior has notable cosmetic wear. Both front seat outer bolsters have extensive peeling and tearing with lighter-colored underlying material exposed. Additional abrasion and peeling are present on the center armrest/console and front seat surfaces. The rear seat lower cushions also have multiple abraded and torn areas with exposed underlying material.
Generated from auction photos by AI vision, then written up by an AI model. Findings are qualitative, not a certified inspection.