Lot 62264836 · FL - ORLANDO NORTH

2016 MERCEDES-BENZ CLS CLS550

VIN WDDLJ7DB0GA180802

Price
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The vehicle

  • Year 2016
  • Make / model MERCEDES-BENZ CLS
  • Trim level CLS550
  • Body type Coupe
  • Condition CERT OF TITLE SLVG REBUILDABLE
  • VIN WDDLJ7DB0GA180802
  • Exterior color blue-gray
  • Odometer 179,318 mi (288,584 km)
  • Listing valid until 2026-08-10 17:00
Notes
Този CLS от 2016 г. е стилен и елегантен избор за всеки, който търси лукс и комфорт. Има тежки щети по задната част на автомобила. 🚗 2016 MERCEDES-BENZ CLS 📋 Основни характеристики: пробег в км: 288584 каросерия: купе цвят: сив ℹ️ Допълнителна информация: условие: CERT OF TITLE SLVG REBUILDABLE
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Damage assessment

Body zones

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Underbody
Condition assessment 1 AI-written variant

gpt-5.6-luna

The auction record lists the vehicle as having a “CERT OF TITLE SLVG REBUILDABLE” designation, with “REAR END” recorded as the primary damage. Visible damage at the rear bumper supports the stated rear-end damage code; however, the salvage/rebuildable title status cannot be verified from photographs. The rear bumper has severe damage on both sides. A section is missing from the left rear corner, leaving a dark opening and exposed components beside the left rear lamp. On the right side, the bumper cover is detached below and beside the lamp, with exposed mounting components and a visible gap. Multiple broad white abrasions and surface scrapes are also present across the rear bumper cover. Inside the cabin, the leather surface of the front center armrest has a localized cracked and worn area. According to the VIN decode, this is a 2016 Mercedes-Benz CLS-Class CLS550 coupe manufactured in Germany. It is equipped with a 4.7-liter gasoline V8 engine. The supplied decode does not specify the drivetrain or transmission. A physical inspection is recommended to check the rear bumper structure, mounting points, adjacent body panels, lamps, sensors, exhaust, underbody, and alignment, as well as to confirm the vehicle’s title and rebuild status.

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