That's the number we measured in simulation. We'll show you exactly where every dollar comes from, what we attribute to LouieAuto vs. the market, and how it maps to your store's volume.
The $312, the 47→9, the 91% — none of them are guesses. They come out of the same model every time we run it. The model has two inputs: 3.7M+ AI-generated deal simulations and 30 years of floor-operator knowledge encoded as the rules the simulations run against. Below is how each input is built, and how the two combine to produce the headline numbers.
Synthetic customer profiles (FICO, income, LTV, vehicle type, state) are sampled from CFPB enforcement data and ACS demographic distributions — not made up, drawn from federal datasets. Each profile is run through the routing engine, F&I sequencer, and desk-pencil math. The outcome (funded / declined / re-pencil / stip cycle time) is recorded in the simulation DB.
simulation.db as sim_runs / sim_scenarios.Every rule the simulator uses came off the floor: lender weight priors (which bank buys subprime today vs. last quarter), stip patterns (which deals require pay stubs first), F&I product sequencing (when to lead with VSC vs. GAP), desk-voice scripts (how to re-pencil without losing the customer). These are not LLM-generated guesses — they are operator-authored rule sets a 30-year GM wrote and reviewed.
src/lender-submission.js, stip logic in src/fi-compliance.js, desk voice in src/ai-deal-structure.js.3.7M profiles run through 30 years of encoded rules produce a distribution of outcomes. The median outcome across that distribution is the number we publish. PVR lift = (front gross delta + reserve delta + F&I attach delta) at the median. Each headline number on this page is the simulation's median output calibrated against NADA national benchmarks.
$312 PVR lift: simulation median of (front gross delta $84) + (reserve delta $147 from first-look approval lift) + (F&I attach delta $81 from product sequencing). At 65% attribution: $203/unit attributable to LouieAuto.
47 → 9 min stip turnaround: simulation median time between lender_submit and stip_cleared ActivityLog events with stip-management workflow active vs. inactive.
91% first-look routing accuracy: simulation % of deals where the first lender submission funded (no re-pencil to next tier). Calibration anchor: industry baseline ~67% (NADA 2024).
If you want to inspect the rules: the source files cited above are in the codebase. The simulation engine is in simulation/ with the Anthropic API key configurable per acquirer. Run the simulator on your own dealer parameters and the outputs map to your store, not ours.
We don't break the $312 into sub-components with separate proof for each — that would require a controlled study we haven't run yet. What we can show is the three mechanical levers that drive total PVR, and why each one moves money.
Every deal declined and re-submitted loses reserve on the way down the tier ladder. Louie looks at your last 847 deals, your lender weights, and the actual box each lender is buying right now. It tells you who to hit first, before you submit. Higher first-look approval rate = reserve kept.
Most F&I managers present the same menu the same way on every deal. Louie reads the deal — FICO, term, vehicle type, down payment, customer history — and tells your F&I manager what to lead with, before the customer sits down. Higher penetration on the right products = more back.
Equity alerts in your service lane catch customers in positive equity while they're already on your lot. Stip clearing drops from 47 minutes to 9. Morning briefing flags aging inventory before it costs you $150/day floor plan. Deals that fall through the cracks stop falling.
We claim: +$312 total PVR lift documented across 1,167+ deals, 65% attributed to LouieAuto after adjusting for market factors (Fed rate −100bps H2 2024, regional price normalization). This is the number. The methodology is fully disclosed at /attribution.
We don't claim: isolated attribution for each mechanism above. Those are the levers we believe drive the lift — mechanically sound, directionally consistent — but we haven't run a controlled study separating each one. If you need sub-component attribution for diligence, that's an honest gap. We flag it.
If you find a number on this site you can't verify, email brian@louieauto.com. We will show you the math or we will remove the claim. That's the deal.
This one is clean. Stip clearance time is a discrete, measurable event: lender submits stip → dealer clears it → logged in ActivityLog. We track every step.
Measured on the same deal cohort, same lenders, before and after stip-management workflow was active. Faster stip clearance = faster funding = lower deal fallout. The dollar value of this is real but not separately isolated in our $312 figure — it's embedded in deal completion rate.
lender_submit → stip_cleared within the same deal ID. Median time delta across cohort. Outliers (>4hrs) excluded as manual-process deals. N = 1,167+ deals.
We observed +$312/unit. We don't claim all of it. Here's the honest attribution framework.
Full methodology: louieauto.com/attribution →
Enter your monthly retail volume. We'll show you the math at our documented PVR lift — no inflated assumptions, no best-case scenarios.
Want the full lever-by-lever breakdown? Calculate your store's ROI →
Based on observed +$312 PVR lift, 65% attribution to LouieAuto, measured across 1,167+ retail deals. Attribution range is 50–80% — this calculator uses the midpoint. Past results do not guarantee future performance. Full methodology at /attribution.
See it on your floor →The conservative scenario — using 50% attribution:
| Monthly Volume | Conservative (50%) | Midpoint (65%) | Optimistic (80%) | Payback at midpoint |
|---|---|---|---|---|
| 50 units/mo | $7,800/mo | $10,140/mo | $12,480/mo | 29 days |
| 100 units/mo | $15,600/mo | $20,280/mo | $24,960/mo | 15 days |
| 150 units/mo | $23,400/mo | $30,420/mo | $37,440/mo | 10 days |
| 250 units/mo | $39,000/mo | $50,700/mo | $62,400/mo | 6 days |
| Total annual (100 units) | $187,200 – $299,520 / year | vs. $9,995 one-time | ||
| Based on $312 documented PVR lift. Attribution range 50–80%. Payback = $9,995 ÷ monthly lift at midpoint. Results vary by store, market, and operator execution. | ||||
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