Lot 59999846 · FL - PUNTA GORDA

2018 MERCEDES-BENZ E E300

VIN WDDZF4JBXJA300532

Current bid
$3,950
≈ €3,657

The vehicle

  • Year 2018
  • Make / model MERCEDES-BENZ E
  • Trim level E300
  • Body type Sedan/Saloon
  • Condition CERT OF TITLE-SLVG REBLD FLOOD
  • VIN WDDZF4JBXJA300532
  • Transmission Automatic · 9-ст.
  • Horsepower 241 к.с.
  • Engine E300 sedan ['17-'19] (2.0-liter turbocharged GDI M274 I4)
  • Steering location Left-Hand Drive (LHD)
  • Exterior color dark blue
  • Odometer 0 mi (0 km)
  • Listing valid until 2026-07-21 17:00
Notes
Този Mercedes-Benz E-Class от 2018 г. е стилен седан с мощен двигател. Автомобилът е с основна щета от наводнение. 🚗 2018 MERCEDES-BENZ E-Class седан 📋 Основни характеристики: - 241 к.с. - автоматична скоростна кутия с 9 предавки - каросерия: седан ℹ️ Допълнителна информация: - цвят: тъмносин
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Damage assessment

Body zones

No AI damage assessment yet for this lot.

Top
Underbody
Condition assessment 1 AI-written variant

gpt-5.6-luna

The 2018 Mercedes-Benz E300 (VIN: WDDZF4JBXJA300532) is listed with an auction condition of “CERT OF TITLE-SLVG REBLD FLOOD” and a primary damage classification of “WATER/FLOOD.” These are unverified auction claims. Stage 1’s photo review reported no visible horizontal tide line, water staining, mud or silt residue, mold-like discoloration, or visible corrosion in the exterior, lower door and rocker-panel areas, interior, engine bay, or dashboard. The instrument-cluster photo also showed no visible widespread malfunction indications. Stage 1 concluded that the visible evidence does not support the reported WATER/FLOOD or rebuilt-flood claim, identifying this as a reportable mismatch. No additional damage findings were provided. Factory data identifies the vehicle as a left-hand-drive E-Class sedan built in Germany, equipped with a 2.0-liter turbocharged four-cylinder gasoline engine and a nine-speed automatic transmission. A physical inspection remains advisable, particularly for concealed water-related damage, electrical issues, corrosion, and the condition of any repaired or replaced components.

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