Prevent the loss before it lands.Trade over-allowance, watched daily.
Vehicle AI tracks every trade against ACV, calculates your daily over-allowance rate, and surfaces drift before the pattern becomes a month-end variance. Coach the desk in real time, not at month close.
Your desk managers don't know the over-allowance rate until accounting tells them.
Every trade is a judgment call. Trade over-allowance — where the appraisal exceeds ACV — happens every week at every store. A few hundred dollars over on a popular Rogue, a few thousand over on a soft-market luxury. Individually defensible; in aggregate, a margin leak.
Most dealerships see the over-allowance rate when accounting reconciles at month end. By then your desk team has already developed the habit. The fix isn't a quarterly coaching session — it's catching the drift on day 3, not day 30.
From signalto action.
Every trade gets a daily ACV check.
As trades close, Vehicle AI compares appraised value against ACV references (Black Book, MMR, your historical wholesale data). Over-allowance gets calculated per trade, per desk manager, per segment.
Weekly over-allowance rate trend, with the alert.
When your rate jumps materially (e.g., 14% → 23% in 30 days), it surfaces as a Margin Leak proactive insight on your morning Command Center. Not buried in a monthly variance report.
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.
Worst-trade drill-down for coaching.
Each over-allowance flag links to the trade: vehicle, sold-for, over-by, desk manager, date. Real evidence for the coaching conversation — not an abstract trend. Your used car manager can intervene specifically on the patterns that matter (Rogues at +$2K, Murano at +$300).
Ask the chat about appraisal patterns.
"Which desk manager has the highest over-allowance rate this quarter?" "Which segments are we systematically over-allowancing?" "How does our discipline compare to last year's first quarter?" Chat reasons across closed trades, ACV references, and desk-manager attribution.
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 over-allowance thresholds (% over ACV, $ over book)
- Configure which desk managers and segments get coaching alerts
- Approve / dismiss flagged trades; system learns from dismissals
- Audit log: every flagged trade with appraisal vs ACV breakdown
Everything traceable to its source.
- Your DMS trade-in records (acquisition price, ACV, sold-for)
- Black Book / MMR for ACV references and segment benchmarks
- Historical wholesale data from your own auction sales
- Desk-manager attribution from your DMS deal records
What your team should expect to see.
Share of trades appraised meaningfully above ACV. The leading indicator we watch weekly.
Cumulative dollar value of over-allowance across the period — the size of the leak.
Spread between best and worst desk managers' over-allowance rates. Where coaching matters.
The product surfaces behind this use case.
See your trade discipline trend this week.
No commitment · We do the setup · Your data stays yours