Find the deals that closed under cost.Before next month's variance meeting.
Vehicle AI surfaces every used-car deal that closed under cost — with VIN-level loss attribution so you can find the root cause (over-allowance, trade discipline, ACV miscalibration) before the pattern repeats.
Good morning, Mike
Here's your dealership overview
Inventory is at 238 active units (200 new, 38 used) with an average 82 days on lot.
You don't see the loss-leaders until they're already 9 deep.
Most dealerships find out about negative-gross used car deals at the end of the month, when accounting reconciles. By then you've closed the next 30 deals, and whatever caused the first nine to lose money has probably caused another six.
Vehicle AI flags them daily, by VIN, with the loss broken down: how far over ACV was the trade, what was the recon variance, where did the front-end gross actually go. So you can fix the rule — not just count the damage.
And we don't surface false alarms: new-car deals routinely show negative gross in the DMS feed because manufacturer holdback, OEM incentives, and floorplan credits aren't booked into cost — those recover through separate accounting. Our negative-gross queue is used cars only.
From signalto action.
Every closed deal gets a daily gross check.
As soon as a used car closes, Vehicle AI compares sale price to total cost (acquisition + recon + holdback + reconditioning). Negative-gross deals get flagged within hours, not at month close.
Good morning, Mike
Here's your dealership overview
Inventory is at 238 active units (200 new, 38 used) with an average 82 days on lot.
Loss attribution by root cause.
Per deal: how much of the loss came from over-allowance on trade, how much from recon variance, how much from price erosion. Patterns become visible: "every loss this month came from over-allowance on Civics with high ACV."
Proactive coaching on appraisal discipline.
When the over-allowance rate jumps (we measure weekly), Vehicle AI surfaces the coaching opportunity in your morning briefing. "Margin Leak: trade over-allowances jumped 9 points — $3,800 of front-end gross given up." Drill in to see the worst-offending trades by VIN and desk manager.
Ask the chat for any deal's full story.
"Show me every negative-gross deal this month and what drove the loss." "Which desk manager has the best appraisal discipline?" "How does our ACV-to-allowance ratio compare to last quarter?" Chat reasons across your closed deals and trade-in records.
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.
Your team approves everything.
- Set per-segment cost thresholds (recon, holdback assumptions, target front-end gross)
- Define what counts as 'over-allowance' (% over ACV, $ over book)
- Tag manager-on-deal so attribution is by person + segment
- Audit log: every flagged deal links to the source DMS record
Everything traceable to its source.
- Your DMS closed-deal records (CDK / Reynolds / Tekion / DealerTrack)
- ACV references (Black Book, MMR, your historical wholesale data)
- F&I records for hold and reserve attribution
- Recon system data for variance tracking
What your team should expect to see.
Weekly and monthly count of deals closing under cost, by manager and segment.
Share of trades appraised meaningfully above ACV — the leading indicator.
Dollar magnitude of negative-gross deals when they happen.
See what gross you lost last month.
No commitment · We do the setup · Your data stays yours