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What if you could turn every service appointment into a potential car sale… automatically?
In this episode, I sit down with Matthew Wilmsen of Affinitiv at Mike Calvert Toyota in Houston, Texas, and let’s just say, this conversation will make you rethink how your dealership uses data, AI, and marketing under one roof.
👉 Register for the upcoming Fixed Ops Roundtable Event
What we discuss in this episode:
We dive into the real-world applications of artificial intelligence and machine learning in fixed ops, not as buzzwords, but as business tools that actually move the needle. Matthew breaks down how Affinitiv helps dealers cut vendor clutter, save real money, and communicate smarter with customers through personalized, behavior-driven messaging.
You’ll hear how:
- AI can predict when your customers need service, even if they haven’t been back in months.
- Machine learning can switch up communication automatically, from email to mail to increase engagement.
- Dealer teams can identify exactly which 20 customers in the service lane are most likely to trade in today.
- Consolidating vendors into one connected platform can unlock a smoother, more profitable workflow across departments.
Matthew also shares how Affinitiv’s tools help dealers not only retain customers but build long-term loyalty by uniting the fixed and variable sides of the business, something most stores are still trying to figure out.
If you’ve ever felt like your marketing is “busy” but not effective, or that your tech stack is more complicated than it should be… this episode will show you what the next evolution of dealership marketing really looks like.
👉 Hit play to find out how AI is reshaping the service drive, and why those who embrace it now will lead the next decade of retail automotive.
Listen to the episode featuring Matthew Wilmsen for even more insights!
Enjoying The Fixed Ops Roundtable Podcast? Please leave a rating and review 👇
Apple: https://podcasts.apple.com/us/podcast/fixed-ops-roundtable/id1608656237
Spotify: https://open.spotify.com/show/15HHYoyvCo1PSFwYn02UXY
Thanks, Matthew Wilmsen
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