Lot 52338326 · MO - SPRINGFIELD
2017 MERCEDES-BENZ GLS GLS550-4M
VIN 4JGDF7DE5HA832613
Current bid
$10,300
≈ €9,537
Archive
The vehicle
- Year 2017
- Make / model MERCEDES-BENZ GLS
- Trim level GLS550-4M
- Body type Sport Utility Vehicle [SUV]/Multipurpose Vehicle [MPV]
- Condition CERTIFICATE OF TITLE (P)
- VIN 4JGDF7DE5HA832613
- Drive type AWD/All-Wheel Drive
- Horsepower 429 к.с.
- Exterior color dark blue
- Odometer 101,093 mi (162,693 km)
- Listing valid until 2026-07-24 04:00
Notes
Този Mercedes-Benz GLS от 2017 г. е истински звяр на пътя.
Minor front-end impact damage.
🚗 2017 MERCEDES-BENZ GLS
📋 Основни характеристики:
пробег в км: 162693
429 к.с.
задвижване: 4x4
ℹ️ Допълнителна информация:
каросерия: джип
цвят: тъмносин
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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 auction record lists the vehicle as having a “CERTIFICATE OF TITLE (P)” condition and identifies “FRONT END” as the primary damage. These are unverified auction designations. Stage 1 reports that the visible hood deformation and surface damage support the auction’s “FRONT END” claim; however, the “CERTIFICATE OF TITLE (P)” status cannot be confirmed from photographs.
The front hood has severe damage, with multiple deep creases and pronounced deformation across its front section. The front edge is visibly irregular, and several light-colored linear scuffs and chipped areas are present on the hood surface.
The steering-wheel rim shows minor cosmetic wear, including localized glossy abrasion along the lower and side sections.
According to the VIN decoding, this is a 2017 Mercedes-Benz GLS-Class SUV, specifically the GLS550-4M trim, built in the United States. It is equipped with all-wheel drive and a turbocharged 4.7-liter gasoline V8 engine rated at 429 horsepower. The vehicle has front airbags, curtain and side airbags for the first, second, and third rows, and direct tire-pressure monitoring. Further inspection should focus on the front-end structure and related components behind the damaged hood.
Generated from auction photos by AI vision, then written up by an AI model. Findings are qualitative, not a certified inspection.