Dealer Velocity One sits above the CRM, DMS and desking tools your store already runs. It reads the whole customer journey, from first click to funded deal to the service lane, holds it as one timeline per customer, and tells the floor what to do next.
Eight modules, sold a la carte. Velocity Brain is the core. You buy the rest only if your store needs them.
Text Marcus now, and route him to Dana.
This source answers texts 3.1 times more often than calls, and Dana closes 41 percent of the texted truck leads she takes.
Illustrative product interface. Synthetic data, not customer data.
Your CRM is fine. Your DMS is fine. The desking tool does what it says. The problem is not any one of them. It is that the customer walks through all of them and none of them tell the next one what just happened.
Someone watches a vehicle video twice and never fills in a form. Nothing about that reaches the person who eventually picks up the phone.
The lead was answered. Which channel, how fast, by whom, and what was actually promised are somewhere in a thread nobody reads before the appointment.
The salesperson spent forty minutes learning what the customer needs. The desk gets a stock number and a trade.
The structure was chosen for a reason. By the time it reaches the F and I office, the reason is a memory.
Two years later the same customer is in the lane with positive equity, and nobody on the sales floor knows they are in the building.
Every one of those gaps costs gross. Not dramatically, and not visibly, which is exactly why they survive.
Keep the CRM. Keep the DMS. Velocity Brain reads them, holds one timeline per customer, and puts the next action in front of whoever is standing in front of that customer. Nothing is migrated and nothing is replaced.
Every inbound lead gets a fast response on the channel that source actually replies to. Day, night, Sunday, and inside consent and quiet hours every time.
Which lenders are likely to approve this deal, drawn from what your store has actually funded, not from a published tier sheet.
Every recommendation is checked against what the deal did. Advice that does not earn gross loses weight. There is no black box and no vanity metric.
Velocity Brain is required, because the timeline is what makes the rest work. Everything else is a module you switch on when the problem it solves is a problem you have. Priced per rooftop, and cancelled per rooftop.
Turns lot photos into vehicle Reels with the description, price and call to action already on them, then tracks who watched and turns interest into a lead you can attribute.
Answers every lead by text, email and vehicle video, with an AI voice assistant that takes the call, works out what the customer needs and books the appointment.
Walks the salesperson through the Road to the Sale on an iPad, from meet and greet to trial close, and hands the customer to the desk with nothing retyped.
Structures the pencil, then shows which lenders are most likely to approve it and at what gross. Every number deterministic, every route approved by a manager.
Soft pull prequalification and authorized hard pulls, with consent recorded before any inquiry runs and a full adverse action trail behind every decline.
Reviews the credit profile and the approved structure, then recommends the lender most likely to fund it on the best terms for the customer and the store.
Scans every service appointment each morning for positive equity, matches a newer vehicle, and alerts a salesperson before the customer leaves the building.
Not sure which ones you need? That is the first thing a walkthrough answers. See how pricing works
The platform earns write access. It starts by watching, builds the timeline from what your systems already hold, and only then starts putting recommendations in front of people. Nothing is configured on day one that cannot be turned off on day two.
We read your CRM, DMS and lead sources. Nothing is written back. Nothing your team does changes.
Every touch already in your systems is assembled into one timeline per customer. This is usually the week a store finds out what it has been missing.
The floor starts seeing recommendations, each one explained, each one approved by a person before anything reaches a customer.
Every recommendation is checked against what the deal actually did. Advice that does not earn loses weight, automatically.
These are interface mockups, not customer results. The platform is pre-launch, so there are no rooftop counts to quote and no gross lift to claim. When there are, they will appear here with the method that produced them.
Who is waiting, how long the clock has been running on each one, and which lead is about to breach the store’s own response policy. One recommendation at a time, with the reasoning shown, and a person deciding whether it goes out.
Text Marcus now, and route him to Dana.
This source answers texts 3.1 times more often than calls, and Dana closes 41 percent of the texted truck leads she takes.
Advisory only. A human approves every recommendation, and the inputs, rule version, explanation, approver and outcome are recorded.
Illustrative product interface. Synthetic data, not customer data.
One structure, and the lenders ranked on how likely each is to approve it, drawn from what your store has actually funded. Every route says what it assumes and what is missing, so the manager is approving a decision rather than a black box.
Funded 31 of your last 37 deals in this tier and LTV band. Prefers the 72 month term.
Same rate to the customer, but pays a flat. Subvented program expires in 9 days.
Advance is short at this LTV. Needs proof of income, which is not on file.
Illustrative product interface. Synthetic data, not customer data. Lender names, rates and approval odds are invented for this mockup.
The same customer, from the Reel they watched in March to the deal that funded and the service visit that will surface the next one. Seven modules wrote to this, and nobody retyped anything.
Every event above came from a different module. None of it was retyped, and none of it lives in a separate system.
Illustrative product interface. Synthetic data, not customer data.
Permissions, reporting and configuration work at both levels, because a group and a rooftop are genuinely different things and treating them as the same is how multi-store software gets frustrating.
Azure native, in a tenancy you can hold in your own subscription. The data is the dealership's, and leaving with it is a supported operation, not a negotiation.
Configured per rooftop, reported per rooftop, priced per rooftop, cancelled per rooftop. A store that is not earning its keep gets switched off on its own.
The same events, measured the same way, across every rooftop in the group. Benchmarking only means something when the definitions match.
Every rooftop runs on the same platform core. A fix or an improvement lands everywhere, and no store ends up on a private version of the product.
Advisory only. A human approves every recommendation, and the inputs, rule version, explanation, approver and outcome are recorded.
Every message, every recommendation, every route. A person clicks approve, and who clicked it is part of the record.
Consent, quiet hours and suppression are enforced before anything sends. A recommendation that would break one does not get made.
Every recommendation says what it is based on. If the explanation does not survive being read out loud on the floor, the recommendation was not good enough.
Velocity Credit records consent and permissible purpose before any inquiry runs, and keeps an adverse action trail so a declined customer can be told why.
Forty five minutes. We walk your actual journey, marketing through service, and show you where the context is being dropped. No integration is needed to have the conversation.
