Ask dealership questions in plain English.Get the math your team can audit.
Chat reasons across your DMS, CRM, inventory, market, and service data, and returns forecasts, briefings, tables, charts, and manager-ready explanations. Every answer cites the source data behind it.
analyze the price to market of all of my used inventory. where are my biggest opportunities for improvement?
47 active used units. Three distinct areas of opportunity: 12 underpriced units could capture margin, 10 overpriced units risk aging.
- Step 1 of 3
Ask in plain English.
Type the question the way you would ask your used car manager.
- Step 2 of 3
Chat picks the data and runs the analysis.
It reasons across your DMS, CRM, inventory, market and service data.
- Step 3 of 3
The answer shows its work.
Narrative that explains what the data says, with every claim linked to its source.
Ask. Read the answer. Check the work.
analyze the price to market of all of my used inventory. where are my biggest opportunities for improvement?
47 active used units. Three distinct areas of opportunity: 12 underpriced units could capture margin, 10 overpriced units risk aging.
What it does.
Plain-English questions across your full data context.
"What is our 12-week sales pacing forecast?" "Which Murano trims are underpriced against local comps?" "How does our trade-allowance discipline compare to last quarter?" Chat picks the right data sources and runs the analysis.
Output that looks like a manager built it.
Tables with the columns that matter. Charts with sensible axes. Narrative that explains what the data says, not just what the data is.
Show your work, on every answer.
Every claim links back to the source data. Forecast points show prediction intervals. Comp-based recommendations show the comp set. The activity log shows which tools Chat used and what they returned.
Forecasts grounded in your store's history.
Sales pacing with confidence bands. Inventory turn projections. Service revenue trajectory. All trained on your actual closed-deal and RO history, not a generic benchmark.
The dealership workthis surface drives.
Show the work
Every recommendation cites its source data. Click to see the math.
Human in the loop
Nothing acts on its own. Your managers approve. Audit log on every action.
Built by operators
Founded by veterans of Bain, Capital One Auto Finance, and Norm Reeves.
Ask Chat anythingabout your store.
We connect to your data, run the analysis, and walk you through what we find. Thirty minutes.
No commitment·We do the setup·Your data stays yours