Know which units are actually realistic for every customer.
Enter or import what the customer voluntarily shared. DealerVision searches compatible dealership inventory and returns ranked recommendations with an estimated opportunity fit. DealerVision qualifies the opportunity — not the consumer's creditworthiness.
What goes in
What comes back
- • Vehicle image, year, make, model, trim
- • VIN and stock number
- • Mileage and selling price
- • Estimated payment range
- • Estimated deal fit
- • Inventory age
- • Customer preference match
- • Payment match and estimated affordability
- • Trade impact
- • Relevant incentives if integrated
- • Why DealerVision recommends the vehicle
One number your team can prioritize around.
Close Score is an estimated deal fit based on available information — preference match, payment alignment, affordability, inventory availability, down payment, trade equity, urgency, vehicle age and deal structure feasibility. It is never a financing approval.
Excellent Match
Built so real intelligence can plug in.
calculateVehicleMatches()
Ranks compatible inventory against the customer profile.
calculateCloseScore()
Produces an estimated 0–100 deal fit with reason codes.
generateCustomerInsight()
Summarizes what the customer actually prioritizes.
generateRecommendedAction()
Suggests the next best step for the salesperson.
rankInventory()
Surfaces aged units with active matching demand.
qualifyPurchaseIntent()
Assesses stated timeline and engagement signals.
The current experience is an interactive prototype using clearly separated demo logic. Production AI services connect through these interfaces.
See what your dealership has been missing.
Experience how DealerVision turns customer information and inventory into actionable sales opportunities.