A customer calls a dealership and is promised a callback in 15 minutes. Nobody calls back. They buy from a competitor.
This isn't a sales problem — it's a memory problem. Salespeople forget. CRMs don't remind. So I built Dealership Brain for the FalkorDB Graph Hacks hackathon: an AI operations brain that stores every customer, every promise, and every conversation in a knowledge graph — and escalates before a broken promise costs a sale.
🔴 The feature that matters most: Callback SLA Escalation. Every callback promise gets a timer. Miss it, and the case automatically escalates to the manager. No customer silently falls through the cracks again.
Also inside:
- Promise Tracker — every commitment made to a customer, tracked to done
- Smart Match — a new car arrives, the brain finds buyers who wanted exactly that, and drafts the WhatsApp message
- Follow-Up Agent — surfaces who to contact today and why
- Trade-In Valuation — trade-in value + remaining loan → net equity
- Test Drive Booking — double-booking is rejected outright
- Neighborhood Graph — customers visualized as a connected network
- Roman Urdu chat — because that's how many customers actually write
- Staff Leaderboard + service reminders
How it works: a FastAPI backend over a graph store. Every interaction becomes nodes and edges, so the system reasons about relationships, not rows. Ask "which customers were promised a callback this week and never got one?" — a graph answers that natively. A traditional CRM makes you dig.
Try it — simulate a missed callback and watch the escalation fire:
👉 https://dealership-brain.vercel.app
Code: https://github.com/rossycoder/dealership-brain
Built for FalkorDB Graph Hacks. Feedback welcome — especially from anyone who's worked a dealership floor: what's the promise your team breaks most?
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