Lot 55104416 · CA - SUN VALLEY
2016 MERCEDES-BENZ GLE GLE350
VIN 4JGDA5JB9GA720070
Price
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The vehicle
- Year 2016
- Make / model MERCEDES-BENZ GLE
- Trim level GLE350
- Body type Sport Utility Vehicle [SUV]/Multipurpose Vehicle [MPV]
- Condition SALVAGE CERTIFICATE
- VIN 4JGDA5JB9GA720070
- Horsepower 302 к.с.
- Engine ML350 2wd ['13-'15], GLE350 2wd ['16-'18] (3.5-liter M276 60° GDI V6)
- Exterior color silver
- Odometer 105,499 mi (169,784 km)
- Listing valid until 2026-07-22 22:00
Notes
Този GLE е истинска находка за ценителите на луксозните SUV автомобили от 2016 година.
Тежка щета в предната част на автомобила.
🚗 2016 MERCEDES-BENZ GLE джип
📋 Основни характеристики:
пробег в км: 169784
каросерия: джип
цвят: сребрист
ℹ️ Допълнителна информация:
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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 vehicle is listed with a SALVAGE CERTIFICATE status and FRONT END as the auction’s primary damage classification. The visible front-end damage supports the unverified FRONT END claim. However, the SALVAGE CERTIFICATE status cannot be confirmed or contradicted from exterior photographs alone.
The front bumper cover and lower fascia are severely damaged, with broken and missing sections, open gaps, and exposed components and wiring. The affected front corner fascia and lower air-intake trim are also broken or partially absent. The adjacent headlamp assembly has moderate damage, including breakage to its outer portion and surrounding mounting area.
Additional damage is visible to the front fender above and behind the headlamp, with a deformed edge and uneven contour. The adjacent hood edge is raised and irregular, with an uneven gap next to the headlamp. The visible damage is concentrated at the front corner and bumper area. A physical inspection is required to assess concealed structural, mechanical, electrical, and mounting-point damage, as well as the parts and repairs needed.
Generated from auction photos by AI vision, then written up by an AI model. Findings are qualitative, not a certified inspection.