Your Showroom Closes at 7pm. Your Buyers Don't.

We build direct API integrations with CDK Global, DealerSocket, Reynolds & Reynolds, and DealerTrack. The chatbot queries your DMS in real time for inventory, pricing, and availability. If your DMS doesn't have a modern API, we set up a scheduled sync layer that refreshes data every 5-15 minutes to keep responses accurate.

The trade-in engine pulls from live wholesale auction data, local market comps, and condition-adjusted depreciation models. Estimates typically land within 5-8% of final appraisal value. The goal isn't to replace your appraiser — it's to give the customer a credible number that keeps them engaged instead of bouncing to a competitor who will.

Yes. The multi-rooftop architecture routes conversations based on location, brand, and inventory availability. Each location can have its own greeting, hours, and escalation rules while sharing a single AI brain and admin dashboard. Lead scoring models can also be calibrated per rooftop based on each location's historical close rates.

The bot runs confidence scoring on every response. When confidence drops below a configurable threshold — or when the customer just asks for a person — the conversation escalates to a live agent through your preferred channel. The agent gets the full chat transcript, lead score, and customer preferences before they say a single word.

The scoring engine analyzes conversation signals: specific vehicle mentions, budget disclosure, trade-in discussion, financing questions, urgency language, and return visit frequency. Each signal carries a weighted score calibrated against your dealership's own conversion data — not someone else's. Leads get classified into tiers and routed to the right salesperson or drip sequence automatically.

You own the codebase and the trained model. We build on open infrastructure — Next.js, Supabase, and open-source LLM frameworks — so there's no per-seat SaaS lock-in waiting to bite you when you grow. Your only recurring costs are hosting (typically $50-$200/month on Vercel) and API usage for the language model, which scales with actual conversation volume.