Lot 60214776 · TX - AMARILLO

2016 MERCEDES-BENZ C C300

VIN 55SWF4JB0GU108886

Price
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The vehicle

  • Year 2016
  • Make / model MERCEDES-BENZ C
  • Trim level C300
  • Body type Sedan/Saloon
  • Condition SALVAGE VEHICLE TITLE
  • VIN 55SWF4JB0GU108886
  • Engine C300 sedan (2.0-liter turbocharged GDI M274 I4)
  • Exterior color dark blue
  • Odometer 49,366 mi (79,447 km)
  • Listing valid until още не е насрочена
Notes
Този Mercedes-Benz C-Class от 2016 г. е стилен седан с пробег от едва 79 447 км. Умерени щети по задната част на автомобила. 🚗 2016 MERCEDES-BENZ C седан 📋 Основни характеристики: пробег 79 447 км двигател 2.0 L, 4 цилиндъра, 241 к.с. задно предаване ℹ️ Допълнителна информация: автоматична скоростна кутия, 7 предавки тъмносин цвят
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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 2016 Mercedes-Benz C is listed with a salvage vehicle title and an auction primary-damage classification of REAR END. Stage 1 reports that the visible rear-end damage supports the stated REAR END classification; however, the salvage-title status cannot be confirmed from the photos. The rear trunk lid is deformed at the right-side corner. Its edge is raised and uneven, with a pronounced gap beside the adjacent taillamp and quarter panel. The lower right section of the rear bumper cover has an irregular opening with a ragged edge near the exhaust outlet, along with broad abrasion and scraped areas across the bumper. The rear quarter panel on the visible side has a pronounced crease and dent around the taillamp and wheel-arch area. Extensive paint scraping and light-colored transfer marks are present, and the corresponding rear bumper corner shows substantial white abrasion extending forward from the rear corner. Inside, the outer lower bolster of a front seat has a small frayed tear, with light-colored material visible beneath the black upholstery.

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