In this Part 2 episode of Qore Conversations, Todd Smith, CEO of QoreAI, continues addressing the automotive industry’s most frequent questions with practical, experience-driven insights. He explains why dealerships face persistent challenges with data hygiene and connectivity, how legacy CRM/DMS structures create duplicate and decayed records, and what a “data swamp” really means at the operational level. Smith also shares a clear distinction between data lakes and warehouses and outlines approaches that give dealers practical, right-sized solutions rather than enterprise-scale complexity.

Highlighting QoreAI’s role as a data intelligence layer, Smith shows how clean, unified, and behaviorally enriched data can be used across any preferred tool—email platforms, paid media, call centers, or OTT campaigns. He illustrates with real workflows such as proactive recall outreach, inventory acquisition from the service drive, and personalized messaging for EV-inclined customers.

Smith also pushes back on AI buzzwords, clarifying the difference between simple wrappers and systems that truly learn. He reframes ROI in terms of clarity, compliance, and efficiency—whether it’s removing deceased records, safeguarding opt-outs, or eliminating wasted spend on bad data. His advice to dealership leaders is to use AI personally, document workflows before automating them, and treat AI as a trainable partner with guardrails rather than a plug-and-play tool.

From understanding data architecture to uncovering untapped opportunities in existing customers, this episode continues the conversation around the most pressing dealer and industry concerns. Taken together, it delivers clear answers to QoreAI’s most-asked questions and provides a framework for transforming data challenges into actionable outcomes.

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Podcast Directed and Produced by Hired Guns Agency: https://www.hiredgunsagency.com