Fleet Remarketing: Leveraging the Power of AI

AI has emerged as a transformative force across industries, and fleet remarketing is no exception. This whitepaper explores where AI changes the economics of remarketing, focusing on three areas where the impact is the largest: maintenance, inventory management, and margin.

Through practical examples and implementable strategies, the paper walks through how AI can sharpen every step of the remarketing cycle, from the condition data captured during the lease, to the keep/sell/redeploy decision, to the resale channel and the final reconditioning spend. This is not the technology you want to be slow to adopt; your competition has already started.

What’s inside

• Maintenance: how AI uses live telematics and service history to flag the condition issues that erode resale value, before they show up in the auction lane.
• Inventory management: how AI predicts the optimal remarketing window per asset, balancing residual value, market demand, and storage cost.
• Margins: how AI compares channels (auction, direct sale, dealer, redeploy) and recommends the path that maximizes net proceeds for each vehicle.

The paper is written for fleet management companies and leasing operators looking for the next several points of margin out of their end-of-contract operations.

About the paper

The whitepaper is a 4.5 MB PDF. Download it, send it to a colleague, or print it for the next strategy review.