The terms data, analytics, and AI can intimidate as well as enlighten businesses looking to upgrade their operations. At the 2025 Conference of Automotive Remarketing (CAR), industry experts shared how AI is moving beyond buzzwords to deliver real value across the wholesale used vehicle market.  

"When combined into a unified approach or plan, data and AI-driven analysis tools can push an operation to more breakthroughs and better results," said Allen Levenson, director of data and analytics at AutoMobility Advisors and a former General Motors executive. Here are five ways AI is already transforming remarketing operations.

1. Smarter Vehicle Valuations

Traditional valuation relies on year, make, model, mileage, and regional factors. According to Christopher Schnese, director of product management at Cox Automotive, and Scott Levy, operational analytics director at Cox, AI now brings VIN-specific configurations, micro-market trends, and even local demand variations into the equation. The result: greater confidence in pricing through faster, data-driven decisions; consistency by reducing human error or bias; and efficiency through quicker turn times and more accurate pricing strategies.

2. Faster, More Accurate Condition Assessments

Imaging tunnels are modernizing condition assessments as vehicles pass through camera-equipped lanes. AI not only selects the best “hero” images for listings but also analyzes thousands of photos for damage. With 70% of Manheim’s inventory now sold online — and 38% of dealers increasing digital sales — AI-generated condition reports are becoming indispensable. They ensure transparency and comparability across listings, removing the ambiguity of subjective assessments.

3. Scalable and Trustworthy Vehicle Inspections

The clipboard-and-pen days of vehicle inspections are starting to look as quaint as Texas Instruments calculators and antenna TVs. At CAR, Dan Kennedy of DAK Consulting moderated a session that highlighted how AI is boosting efficiency while supporting human inspectors. "The way we think about it is it gives our inspectors superpowers," said Dustin Cruz, vice president of operations of OPENLANE. "It's making them better and more consistent at their jobs, allowing them and the process to be more efficient. They can do more inspections." Raj Pofale, founder and CEO of Claim Genius, underscored how AI can provide unbiased decisions when assessing vehicles.  

"I can say confidently that all of us in the room would assess a vehicle differently, because our understanding of the assessment varies." Kevin Kostuk, co-founder and director of Ariaal, sees AI as a tool to relieve employees of the stresses of tedious and repetitive tasks.

"People are busy. They're running hard. Anything we can do to reduce the cognitive load and get them to add value will be appreciated and help them live a better life and enjoy their jobs more."

4. Assurance Products That Build Confidence

Assurance solutions — tools that simplify the process of reselling vehicles — rely increasingly on AI. These include accurate vehicle evaluations and condition reporting.  

AI can analyze past transaction data to help create a pricing floor that allows dealers to accept trades and pursue new inventory strategies.

5. Smarter Logistics and Transport Pricing

AI is also transforming how vehicles are shipped. Traditional transport pricing depended on fixed lanes and historical averages. Today, AI incorporates climate, fuel prices, geographic nuances, and carrier-specific variables to predict fair, dynamic shipping rates.  

The outcome creates transparency for both shippers and carriers, enabling quicker negotiation and reducing idle vehicle time. With fewer delays, vehicles move to market faster, speeding up inventory turnover.

What This Means for Remarketers

The five applications of AI shared at CAR highlight a common thread: efficiency and trust.  

By improving how vehicles are priced, inspected, reported, and transported, AI reduces uncertainty for both buyers and sellers. Remarketers who embrace these systems can shorten cycle times, make more confident decisions, and offer customers clearer insights while freeing staff to focus on higher-value work.