Lot 59835236 · SC - NORTH CHARLESTON
2014 MERCEDES-BENZ GLK GLK350 4-MATIC
VIN WDCGG8JB1EG203772
Price
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The vehicle
- Year 2014
- Make / model MERCEDES-BENZ GLK
- Trim level GLK350 4-MATIC
- Body type Sport Utility Vehicle [SUV]/Multipurpose Vehicle [MPV]
- Condition CERT OF TITLE-SALVAGE
- VIN WDCGG8JB1EG203772
- Drive type AWD/All-Wheel Drive
- Engine GLK350 4Matic ['13-'15] (3.5-liter M276 60° GDI V6)
- Exterior color silver
- Odometer 136,867 mi (220,266 km)
- Listing valid until още не е насрочена
Notes
Този GLK от 2014 г. е чудесен избор за всеки, който търси надежден и стилен SUV.
Умерени щети по лявата задна врата.
🚗 2014 MERCEDES-BENZ GLK
📋 Основни характеристики:
пробег в км: 220266
ℹ️ Допълнителна информация:
каросерия: джип
цвят: сребрист
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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 2014 Mercedes-Benz GLK is listed by the auction with a “CERT OF TITLE–SALVAGE” condition and a primary damage code of “SIDE.” Stage 1 reports that the visible evidence supports the SIDE classification because damage is clearly visible on the left rear door. However, the salvage-title status cannot be confirmed or contradicted from the exterior photos alone.
The left rear door has a broad, moderately severe inward dent with visible creasing across its lower-middle section. Multiple light-colored linear scratches and areas of paint scuffing are present over and around the dent. The right side of the rear bumper also has a moderately damaged appearance in the exhaust outlet area, where an open black recess is visible without the matching trim or outlet finish seen on the opposite side.
The documented damage is concentrated on the left rear door and the right rear bumper exhaust-outlet area. A physical inspection and repair estimate would be required to assess any concealed damage, confirm the condition of the exhaust outlet area, and determine the full scope of restoration.
Generated from auction photos by AI vision, then written up by an AI model. Findings are qualitative, not a certified inspection.