NEON reads your DMS, CRM, inventory, and market data to find the gross you're losing and the deals you could be winning, then builds a manager-approved action queue your team can actually run.
NEON flags $3,948 of gross at risk on a 2026 Tundra in the morning queue. Keep scrolling to see why.
Each signal is labeled with how NEON knows it and the threshold it is measured against.
Policy review begins at 60 days.
Scores below 70 indicate a merchandising constraint.
Review threshold is above 103%.
Markets at or above 90 days receive extra turn-risk weight.
Days on lot from the DMS, listing quality from your inventory feed, comparable pricing from market data.
Approval creates an accountable work item. It does not change a price or write to the DMS.
Reads from the systems your store already runs
DMS, CRM, inventory feeds, market data, service lane, OEM bulletins. Continuous, not batch.
Here's your dealership overview
Inventory is at 238 active units (200 new, 38 used) with an average 82 days on lot.
When NEON says this unit is $7,511 above market, it shows the 147 comps and the regression line, so your manager can audit before they act.
This unit is $7,511 above 147 local comps.
Reprice. Wholesale. Tighten appraisal discipline. Recover declined service. Every action mapped to a metric your team owns.
Nothing happens without a human in the loop. Approval logs, audit trail, source citations on every recommendation.
Closed-loop reporting so you know what moved gross, turn, and retention.
Fixed Ops gross, effective labor rate, labor margin, hours per RO, and customer-pay volume. Click any tile to see the underlying breakdown.
Here's your dealership overview
Inventory is at 238 active units (200 new, 38 used) with an average 82 days on lot.
Every recommendation cites its source data: comps, history, market feeds, dealer rules. Click any insight to see the math.
Nothing acts on its own. v.Agents prepare; your managers approve. The audit log captures every action.
Founded by veterans of Bain, Capital One Auto Finance, and Norm Reeves, an Automotive News Top 25 dealer group.
Twenty chapters on turning dealership signals into evidence, accountable decisions, and follow-through. Start with these three.
Dashboards explain what happened. Dealerships need a disciplined way to surface material exceptions, assign decisions, and verify follow-through. This anchor piece sets out the five-part exception model the rest of the series builds on.
8 min readReadInventory risk appears before a unit reaches an age threshold. With average used gross near $1,600 a unit, the first price move has to happen while it is still a small one. The useful signal is an evidence-backed exception with enough time left for a manager to act.
5 min readReadHuman review is meaningful only when the recommendation is traceable and the reviewer has authority. Responsible AI begins with operating ownership, and this governance anchor sets out who owns what.
7 min readReadWe 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