"Billion Miles of Data" — How AI Finds Hidden Profit In A Flat Market | Greg Uland, VP of Marketing, The Reynolds and Reynolds episode artwork

EPISODE · May 19, 2026 · 25 MIN

"Billion Miles of Data" — How AI Finds Hidden Profit In A Flat Market | Greg Uland, VP of Marketing, The Reynolds and Reynolds

from The Dealer Playbook · host Michael Cirillo

Are you leaving money on the table in a flat market? While some see limited growth, others are leveraging technology to find profitability others miss. The key isn't working harder, it's working smarter.In this episode, Greg Uland, VP of Marketing at The Reynolds and Reynolds, reveals how unified data and AI can transform your dealership's operational efficiency. He breaks down how AI goes far beyond chatbots, tapping into every data point to maximize profit on every single vehicle and service interaction.What you will get from this episode:Understand how robust AI provides a competitive edge in today's no-growth automotive retail climate.Discover how unified data is the non-negotiable foundation for effective AI strategies that impact your bottom line.Learn how to identify hidden profit opportunities in your inventory, F&I, and fixed ops departments.Gain insights into reconciling new AI possibilities with the "people, process, technology" mantra of dealership leadership.Anticipate future cybersecurity watch-outs and infrastructure considerations for AI adoption without fear.Greg Uland is the VP of Marketing at The Reynolds and Reynolds Company, bringing a wealth of knowledge on automotive technology and data integration.Follow The Dealer Playbook so you never miss an episode.Timestamps00:00 Dealers and AI Reality00:18 Unified Data Foundation02:18 AI Beyond Chatbots05:01 Flat Market Efficiency Play08:41 Dynamic Pricing and Inventory12:50 AI Flywheel Use Cases19:33 Cloud vs On Prem Future22:01 AI in Marketing Workflows24:36 Connect and Closing

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"Billion Miles of Data" — How AI Finds Hidden Profit In A Flat Market | Greg Uland, VP of Marketing, The Reynolds and Reynolds

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