Lot 57748546 · NE - LINCOLN

2015 MERCEDES-BENZ ML ML250 BLUETEC 4-MATIC

VIN 4JGDA0EB7FA511888

Current bid
$2,100
≈ €1,944

The vehicle

  • Year 2015
  • Make / model MERCEDES-BENZ ML
  • Trim level ML250 BLUETEC 4-MATIC
  • Body type Sport Utility Vehicle [SUV]/Multipurpose Vehicle [MPV]
  • Condition CERT OF TITLE-SALVAGE
  • VIN 4JGDA0EB7FA511888
  • Drive type AWD/All-Wheel Drive
  • Exterior color white
  • Odometer 145,641 mi (234,386 km)
  • Listing valid until 2026-08-04 20:00
Notes
Този Mercedes-Benz ML от 2015 г. е готов за нов собственик. Леки повреди по предната и задната броня. 🚗 2015 Mercedes-Benz ML джип 📋 Основни характеристики: пробег в км: 234386 задвижване: 4x4 ℹ️ Допълнителна информация: цвят: бял
Make an offer or ask a question

Log in to make an offer or ask a question about this car. Log in

Damage assessment

Body zones

AI-detected zones are pre-marked below — click a zone to adjust its severity.

Top
Underbody
Condition assessment 1 AI-written variant

gpt-5.6-luna

The vehicle is listed with a salvage certificate of title, and the auction’s primary damage classification is “FRONT END.” Stage 1 reported that the photos show minor scuffing and scraping on the front bumper, providing limited support for this classification; no major front-end damage was visibly confirmed. The recorded damage is primarily cosmetic. Multiple dark abrasion marks, scraped paint, and horizontal scuff marks are present on the lower front bumper and front bumper corner. Additional dark surface scuffing is visible on the lower left rear bumper corner. All reported damage is described as minor; no other damage findings were provided. VIN decoding identifies this vehicle as a 2015 Mercedes-Benz ML-Class ML250 BlueTEC 4MATIC SUV, equipped with all-wheel drive, a 2.1-liter four-cylinder diesel engine, and direct tire-pressure monitoring. The vehicle was manufactured by Mercedes-Benz USA in Vance, Alabama. Further physical inspection is recommended to verify the condition of the bumper surfaces and to check for any damage not visible in the supplied findings.

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