The Intelligent Dealership: How AI and Data Transform Automotive Retail
Language: English
Published by Gatekeeper Press, 2026
- Hardcover
- New

Condition: New
US$ 29.29
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Add to basketSeller Inventory # N:9781662965593:ONHAND
- Title
- The Intelligent Dealership: How AI and Data Transform Automotive Retail
- Author
- Todd Smith
- Publisher
- Gatekeeper Press
- Publication year
- 2026
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 1662965591
- ISBN 13
- 9781662965593
The Intelligent Dealership: How AI and Data Transform Automotive Retail
This is not a technology problem-it's a business one. Dealership systems were never designed to work together. The result? Dozens of vendors pulling data in every direction, without a central brain that understands, learns, and applies it effectively.
But what if it were possible to:
- Know the moment a previous customer begins shopping again-even before they visit a competitor's website?
- Adjust vehicle pricing daily based on regional trends and affordability insights?
- Personalize outbound marketing using buyer propensity, income volatility, or defection risks?
- Train new hires with objection-handling examples drawn from your top performers in a searchable library?
This isn't fantasy-it's the practical power of artificial intelligence in today's dealerships.
The Intelligent Dealership reveals how AI and data are rewriting the retail automotive playbook. Massive industry shifts are already underway, and dealerships that adopt intelligent systems will not only keep pace but gain lasting competitive advantage.
With clear explanations, practical examples, and a focus on outcomes, this book shows how to:
- Centralize and optimize dealership data
- Improve profitability through predictive analytics
- Enhance customer experience with AI-driven personalization
- Build resilient systems that adapt to market turbulence
Accessible to dealership owners, managers, and industry professionals alike, The Intelligent Dealership provides the roadmap to transform data into intelligence. The dealerships that act today will define the future of automotive retail tomorrow.
"Synopsis" may belong to another edition of this title.
About the Author
Todd Smith is an accomplished American entrepreneur and leader in the automotive technology sector. With over thirty years of experience, he has made significant contributions to automotive retail, digital marketing, and communication solutions.
As Chief Executive Officer of QoreAI, he leads the development of breakthrough data center AI solutions that enable dealerships to identify in-market consumers and deliver scalable personalized experiences. Already, QoreAI has created multiple breakthrough algorithms to help dealership groups identify in-market consumers and adopt the ability to personalize at scale. Under his leadership, QoreAI is one of the fastest-growing automotive technology companies.
Alongside his role at QoreAI, Todd also spends time as the managing director of Kyzor, where he invests in, and advises, emerging automotive technology companies. Previously, Todd founded ActivEngage, growing it into the automotive industry's largest managed live chat provider before successfully exiting in 2018. His leadership earned multiple recognitions, including five consecutive years on the Inc. 5000 list and Red Herring Top 100.
In addition to his business ventures, Todd is a passionate CEO mentor and speaker, frequently sharing his insights on entrepreneurship and technology at industry events where he combines his expertise in automotive retail and AI with his passion for entrepreneurship. His expertise spans marketing, sales management, artificial intelligence, and automotive management.
Committed to driving innovation and empowering others in the automotive industry, Todd continues to shape the future of automotive technology through his leadership and vision.
Todd lives in Orlando, FL with his wife and son. He can be found searching for new waves to surf when he's not training dealerships around the world on AI.
"About the title" may belong to another edition of this title.
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