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What if your dealership stopped reacting to problems and started predicting opportunity? We sat down with Mets and Nick, the team behind a from-scratch dealer management platform, to trace how a human-centered CRM evolved into a scalable DMS and where AI now multiplies the impact. The throughline is simple and bold: technology should fit the business, not the other way around—and clean signals beat crowded screens.

We walk through the early missteps and course corrections that every tech leader will recognize: rebuilding the stack to something future-proof and hireable, resisting feature bloat, and prioritizing role-specific views so parts, service, and sales see only what they need. From there the conversation shifts to the power of triggers. Think: the buyer who always orders every two weeks but has gone silent, the fleet that hits a three-year mark, the prospect who clicks a high-value email at 10 p.m. With disciplined data capture—site behavior, email engagement, telematics, service milestones—AI can surface these moments automatically and route them to the right person at the right time.

We also tackle the cultural roadblocks. Dealers will approve a multimillion-dollar machine in a heartbeat but hesitate to invest five figures in software that guarantees faster quotes and same-day invoicing. Yet this is where ROI hides: shaving clicks off the parts counter, auto-alerting sales to strong intent, turning completed jobs into instant, accurate bills. As sensor data grows, AI helps redefine what “best operator” means by weighing idle time, safety, maintenance, weather, and job complexity, not just output. Roles evolve too—analysts curate data quality and validate model insights while frontline teams act on event-driven queues instead of chasing stale lists.

If you’ve wondered how to go from dashboards to decisions, this conversation lays out a practical path: start with foundations, capture the right signals with consent, let AI find patterns, and make it effortless to act. Your brand and territory are strengths; pairing them with proactive, data-led workflows is the competitive edge. Enjoy the episode, then subscribe, share with a colleague who still lives in spreadsheets, and leave a review telling us the first workflow you’d automate.

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