Lot 60055266 · ON - OTTAWA

2015 MERCEDES-BENZ C 4-MATIC

VIN 55SWF4KB2FU031984

Current bid
C$4,400
≈ €2,974

The vehicle

  • Year 2015
  • Make / model MERCEDES-BENZ C
  • Trim level 4-MATIC
  • Body type Sedan/Saloon
  • Condition PERMIT NO BRAND - UNFIT
  • VIN 55SWF4KB2FU031984
  • Drive type AWD/All-Wheel Drive
  • Exterior color brown
  • Odometer 227,010 mi (365,336 km)
  • Listing valid until 2026-08-04 17:00
Notes
Този Mercedes-Benz C-Class от 2015 г. е чудесен избор за всеки, който търси надежден и комфортен седан. Леки щети по задната част. 🚗 2015 Mercedes-Benz C-Class седан 📋 Основни характеристики: пробег в км: 365336 задвижване: 4x4 ℹ️ Допълнителна информация: каросерия: седан цвят: кафяв
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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 vehicle is a 2015 Mercedes-Benz C-Class sedan, identified by the VIN decoder as an all-wheel-drive 4MATIC model with a 2.0-liter four-cylinder gasoline engine. It was manufactured by Mercedes-Benz Cars in the United States. The auction record lists the condition as “PERMIT NO BRAND - UNFIT” and the primary damage as “REAR END.” Stage 1 reports that the photographs do not show visible rear-end collision deformation or other substantial rear-end damage, so the “REAR END” classification is not supported by visible evidence. Stage 1 also reports no obvious severe exterior damage to substantiate the “PERMIT NO BRAND - UNFIT” designation, while noting that roadworthiness cannot be determined from photographs. The documented visible damage consists of several minor paint chips and surface scuff marks on the left side of the front bumper near the front corner. The light-colored upholstery on the front driver’s seat cushion has an irregular dark opening or torn section, assessed as moderate damage. A physical inspection is recommended to verify the vehicle’s structural condition, mechanical operation, safety systems, and roadworthiness before purchase.

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