Catch every unit drifting out of competitive range.With the comps to back it up.
Vehicle AI tracks every active listing against 100+ local comps in real time. When a unit drifts above or below market, you see it on the morning briefing — with the comp set, the regression line, and the recommended adjustment.
This unit is $7,511 above 147 local comps.
- Step 1 of 3
NEON gathers the comps.
147 comparable listings within 25 miles, refreshed multiple times a day.
- Step 2 of 3
They set the market, and the gap shows.
A $45,629 market reference, with this Murano's $53,140 asking price sitting $7,511 above it.
- Step 3 of 3
The gap becomes an action.
A recommended reprice to $47,500 goes into the queue and waits for a manager.
vAuto tells you the price. Your used car manager tells you the override. Nobody tracks what happens next.
Your store probably already has a pricing tool. It pulls comps and suggests a number. Then your used car manager overrides it because the trade had high ACV, or there's a hold from the auction, or it's a desirable color and they want to test the market.
Those overrides are sometimes right. But nobody's auditing them weekly — which means an aged-inventory crisis builds up silently as those overrides drift further from market over time. Vehicle AI watches the override drift and flags it before the unit ages out.
From signalto action.
- Step 1 · Step 1
Continuous P2M tracking on every active unit.
Vehicle AI pulls fresh comps multiple times per day across the platforms your buyers actually use — MarketCheck, CarGurus, AutoTrader, Cars.com — and re-prices the market reference for each VIN.
Asking$53,140Market Ref$45,629P2M116.5%147 comps · 25mi · Strong confidence$53k$43kThis unit is $7,511 above 147 local comps.
- Step 2 · Step 2
Drift surfaces on the morning briefing.
Units that moved more than your alert threshold above or below market show up at the top of the Command Center. With the magnitude in dollars and the supporting comp set one click away.
Asking$53,140Market Ref$45,629P2M116.5%147 comps · 25mi · Strong confidence$53k$43kThis unit is $7,511 above 147 local comps.
- Step 3 · Step 3
Drill down to see the math.
Click any flagged unit. See all 147 comps. See the regression line. See where this vehicle sits. Argue the override with data, not opinion. So your manager can sign off — or push back — quickly.
Asking$53,140Market Ref$45,629P2M116.5%147 comps · 25mi · Strong confidence$53k$43kThis unit is $7,511 above 147 local comps.
- Step 4 · Step 4
Ask the chat anything about pricing.
"Why is this Murano $7,511 above market?" "How does our pricing compare to the closest 3 Toyota stores?" "Which segments are we systematically underpricing?" Chat reasons across the comp set and your historical pricing decisions.
analyze the price to market of all of my used inventory. where are my biggest opportunities for improvement?
Used Inventory P2M DistributionLowIn-LineHighNo Data47 active used units. Three distinct areas of opportunity: 12 underpriced units could capture margin, 10 overpriced units risk aging.
This unit is $7,511 above 147 local comps.
Everything traceable.Your team approves everything.
- MarketCheck for the cross-platform comp universe
- Your DMS inventory feed for active units and asking prices
- Historical pricing decisions for trend context
- Your dealer-set thresholds and override rules
- Set per-segment P2M alert thresholds (e.g. ±5% for fast-movers, ±8% for luxury)
- Configure comp set: distance radius, mileage band, trim match strictness
- Approve every price change before it lands in your DMS
- Override any recommendation; Vehicle AI logs the rationale for the weekly audit
What your team should expect to see.
Recovered margin from units repriced into market vs. drift-untouched controls.
Velocity lift on units that came into target P2M range earlier in their lifecycle.
Track which overrides held value vs. degraded into aging risk over time.
Illustrative figures from a worked example store · not customer results
The product surfacesbehind this use case.
See your most-overpriced units this week.in your store this week.
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