1. Understand intent
Budget, mileage, body style, drivetrain, features, new/used and intended use.
Natural-language vehicle matching
Tell us what you want.
We’ll translate it.
Try a normal request like “3-row SUV under $45K with ventilated seats” or “used 4WD truck under $50K.” The demo ranks the saved public-listing snapshot.
Demo results
Matches from the saved snapshot.
The production version will search a continuously refreshed inventory database instead of eight saved records.
Try a request above. Results will appear here with match reasons and official listing links.
Production logic
AI interprets. Data decides.
Natural language should map customer synonyms — “cooled seats,” “bird’s-eye camera,” “three-row” — but the vehicle database determines whether a feature is actually present.
2. Verify equipment
Use listing/window-sticker data with confidence labels: Confirmed, Verify, Unknown.
3. Explain the match
Show why each vehicle fits, where it misses, and a direct route to Sam or Ryan.