Artificial intelligence is quickly becoming a defining competitive advantage in automotive retail. On this episode of Inside Automotive, Todd Smith, CEO of QoreAI and author of The Intelligent Dealership, explains why dealers need to rethink how they approach AI adoption and data ownership.
Smith argues that AI should not be treated like traditional software. Instead, dealerships must train AI systems using their internal workflows, operational knowledge, and transactional data to create what he calls a “dealership brain.” He explains how AI can improve efficiency across sales, service, marketing, HR, and used-vehicle operations while helping dealers build long-term operational advantages.
Key discussion points include:
- Why dealerships misunderstand AI implementation
- The importance of building a “dealership brain”
- Protecting dealership data from third-party dependency
- How consumers are already using AI during the buying process
- Practical AI applications across every dealership department
- Why AI-driven efficiency compounds over time
- The risks of delaying AI adoption in automotive retail
Smith also discusses why transparency, operational intelligence, and data ownership will become critical differentiators as AI reshapes the customer experience.
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