Case Study: LKQ boosts salvage inventory accuracy and speed with Tractable Auto Inspector

A Tractable Case Study

Preview of the LKQ Case Study

Supercharging auto salvage and recycling across North America

North America's LKQ Corporation, the world's leading alternative auto parts provider, faced a repetitive and time-consuming challenge in manually assessing damage and inventorying parts from over 800,000 end-of-life vehicles annually. After reviewing other AI solutions that proved inaccurate, LKQ partnered with Tractable to explore automating their damage assessment and inventory process using the Tractable Auto Inspector tool.

Tractable implemented its AI-powered Auto Inspector, which uses computer vision trained on millions of damage examples to assess vehicles and identify recyclable parts. This solution processes 10,000 vehicles daily and has boosted staff accuracy by 8%. To date, LKQ has recycled over 300,000 cars using Tractable’s AI, resulting in improved inventory rates, more parts recycled per vehicle, and increased revenues and margins.


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LKQ

Yogi Shivdasani

Vice President of North America Supply Chain


Tractable

2 Case Studies