Our perspective on the road ahead

Dealership
2030

9:47 p.m.

The last customer left an hour ago. The dealership is still open.

Not the front door. That is locked. The lot lights are on, the keys are back in the box, and the row has gone quiet. But somewhere behind the glass, an operator is still waiting on a title, looking for a missing bank statement, correcting a listing, and trying to make tomorrow's numbers agree with today's deals.

This is the second shift of automotive retail. Customers rarely see it. Families know it well.

For decades, the industry answered this work with more software. A system for inventory. Another for customers. Another for desking, lenders, titles, accounting, websites, auctions, and messages. But most of those systems do not do the work. They store a record, surface a field, and wait for the operator to take the next step.

That model is becoming obsolete. The largest online retailers already build proprietary software around the work itself—pricing inventory, routing vehicles, and coordinating reconditioning, fulfillment, financing, and titles at scale. As AI improves, and the cost of renting intelligence falls, that advantage compounds.

Ramp offers a glimpse of what follows. The company gives businesses one place to manage cards, expenses, bills, travel, and accounting. It also set up its own AI research lab, where it is training smaller systems to handle specific jobs faster and at lower cost.

More technology companies will follow. Each one that turns its own knowledge into software that works around the clock widens the gap between what it can do and what most businesses can buy. For established providers, catching up will take more than capital. The leading AI labs are already competing fiercely for the limited pool of people who know how to build these systems.

By 2030, a system that only records the work will feel obsolete. But the challenge facing dealer operators is much larger than outdated tools.

The squeeze

An independent dealer begins every morning behind.

The franchise store down the road has new-car allocations, manufacturer marketing, a captive lender, a service lane full of future trades, and a back office that can spread its cost across thousands of vehicles. The national retailer has a familiar name, a centralized acquisition team, and enough inventory to make almost any search return a result.

Franchise dealers do not have it easy. They face many of the same problems and market pressures. But for independent dealers, it is a whole different ballgame.

Inventory must be found in the open market, often against buyers with more data and cheaper capital. Every aging unit ties up cash. Every repair changes the margin. Every day-to-turn matters before the vehicle is even photographed. And the dealer must fight identity, income, and document fraud with fewer tools.

Some lender programs add another layer of risk through recourse and chargeback terms. The lender may approve the customer, but an early default or another contract trigger can still send part of the loss back to the dealer. For a small operator, a handful of those reversals can erase the margin from weeks of otherwise good deals.

Cox Automotive now describes the used market as a “haves-versus-have-nots” divide, driven in part by inventory access and pricing power. In its second-quarter 2026 survey, franchised dealers rated the used-vehicle sales environment at 62. Independent dealers rated it 39.

Every structural disadvantage eventually squeezes the same thing: margins.

When traffic slows, the operator changes the ads. When credit tightens, the operator finds another structure. When a vehicle sits twenty days too long, the dealer takes the hit just to move it off the lot.

And the customer is under pressure too. The independent buyer is often shopping from necessity, not aspiration. Many are carrying credit damage from a job loss, a medical bill, or another period of financial hardship. They are also balancing the payment, insurance, reliability, and whether the car can get them to work on Monday.

The dealer has to solve a harder deal with fewer resources. Then they have to make it feel simple and deliver a genuinely good experience. And the bar for that experience keeps rising.

The David vs. Goliath in Automotive

The asymmetry of growth.

Growth is one connected loop: bring a shopper in, help them take the next step, earn the sale, and give them a reason to return or refer someone else. Growth teams call those stages acquisition, activation, monetization, and retention. The dealer version is simpler: find the friction, fix it, measure it, and let each improvement compound into the next.

At a dealership, that loop starts before a shopper clicks and continues through the test drive, financing, delivery, service, and the next trade. Faster follow-up creates more appointments, cleaner handoffs create more deliveries, and better service brings customers back. Each fix strengthens the whole journey instead of one isolated campaign.

Our founding team saw that limit firsthand while working at one of the largest marketing agencies, whose clients included major automotive brands, before moving into technology. Even an agency that large is usually hired to create demand around systems it does not own. It can send better traffic. It cannot always rebuild what happens after the click.

Carvana operates with a different kind of leverage. Its proprietary technology connects the shopping, financing, vehicle-acquisition, and fulfillment systems it controls. In the first quarter of 2026, it sold 187,393 retail units, up 40 percent year over year.

Tesla applies the same engineering-first model to a pre-owned journey that runs online through order, trade-in, financing, registration, and delivery.

Lithia & Driveway brings inventory from more than 300 U.S. stores into a shared online retail experience. In 2025, purchases through Driveway.com rose 101 percent and purchase commitments rose 68 percent. The group also cut marketing cost per retail delivery by 21 percent and cost per purchase pickup by 51 percent.

Those advantages become clearer when we compare their growth with the rest of the industry. Average reported year-over-year retail-unit growth from 2021 through 2025 illustrates the difference in momentum.

+0.7%

U.S. dealers

+19.6%

Driveway

+24.7%

Carvana
Sources: Cox Automotive, Lithia & Driveway historical results, earlier Lithia & Driveway results, and Carvana's 2025 Form 10-K.
Average reported year-over-year retail-unit growth from 2021 through 2025 used to calculate the three averages
YearU.S. dealer-channel year-over-year growthLithia and Driveway year-over-year growthCarvana year-over-year growth
20217.150.474.2
2022-9.813.2-3
2023-0.74.5-24.1
20244.726.433.1
202523.343.3

Independent dealers sit on the other side of this asymmetry. Many outsource advertising, websites, CRM setup, lead follow-up, and other critical growth work to separate agencies and service providers. Each provider can optimize its slice. Few can change the chain from vehicle acquisition to funded deal. When a fix crosses those boundaries, the dealer becomes the integration layer.

AI only accelerates the disparity.

The technology industry calls the new entrants AI-native: companies designed around models and agents from the beginning instead of adding them to an old operating model. A study of more than 3,400 founders and startup leaders reported that AI-native startups reached billion-dollar valuations in half the time and with half the staff of their pre-generative-AI predecessors. OpenAI, the maker of ChatGPT, has separately observed that AI can let a sole proprietor or two-person company handle a wider range of work before hiring specialists.

AI lets smaller teams do more before adding headcount. Established companies cannot match that by adding a chatbot; they have to change how the business works. Dealers face the same pressure through the vendors they depend on.

The charts below do not measure growth-team quality or isolate AI's effect. They show the market outcome of the asymmetry. Cox Automotive's latest 2026 forecast puts used-retail sales down 0.8 percent for the year while Carvana's latest reported retail-unit growth is 40 percent. When one operator expands that quickly inside a flat or shrinking market, its growth has to come from the same pool of buyers, trade-ins, and inventory that traditional dealerships depend on. The timeline below illustrates how that pressure can compound: reported movement through 2025, followed by a stress test that holds the same run rates through 2030.

  • Franchised dealers
  • Independent dealers
  • Driveway network†
  • Carvana
Sources: NADA, NIADA, Lithia & Driveway, and Carvana.
Constructed dealer-sales composition from 2023 through a 2030 constant-rate scenario
YearFranchised dealersIndependent dealersDriveway network†CarvanaDriveway network and Carvana combined market share
2023 reconstructed58.1 percent, 12.5M units38.9 percent, 8.35M units1.5 percent, 325,764 units1.5 percent, 312,847 units3.0 percent
2024 reconstructed57.7 percent, 12.9M units38.6 percent, 8.68M units1.8 percent, 411,925 units1.9 percent, 416,348 units3.7 percent
2025 reconstructed57.2 percent, 13.1M units38.3 percent, 8.78M units1.9 percent, 425,381 units2.6 percent, 596,641 units4.5 percent
2026 scenario56.5 percent, 12.8M units37.9 percent, 8.60M units1.9 percent, 436,441 units3.7 percent, 835,297 units5.6 percent
2027 scenario55.6 percent, 12.5M units37.2 percent, 8.39M units2.0 percent, 447,788 units5.2 percent, 1.17M units7.2 percent
2028 scenario54.3 percent, 12.1M units36.4 percent, 8.13M units2.1 percent, 459,430 units7.3 percent, 1.64M units9.4 percent
2029 scenario52.4 percent, 11.6M units35.1 percent, 7.79M units2.1 percent, 471,375 units10.3 percent, 2.29M units12.5 percent
2030 scenario49.8 percent, 11.0M units33.4 percent, 7.34M units2.2 percent, 483,631 units14.6 percent, 3.21M units16.8 percent

Driveway shows how a traditional dealership group can build a different kind of national platform. Lithia & Driveway's reported used retail units grew 26.4 percent in 2024, largely through acquisitions, then 3.3 percent in 2025. Driveway turns that expanding physical footprint into one searchable, financeable, deliverable online inventory pool. Carvana takes the more vertically integrated path.

Carvana runs vehicle buying, pricing, reconditioning, financing, logistics, wholesale, and customer service as parts of one platform. When a pricing, reconditioning, or transport improvement works, it can spread through that system instead of being negotiated across separate vendors. That demand is not free—Carvana spent $363 million on advertising in 2025.

Dealerships cannot become Carvana, and copying its footprint is not the answer. They need the ability to learn and improve across the entire customer journey—not just buy more traffic. As technology-led retailers compound those improvements, dealers must close the distance between seeing an opportunity and acting on it.

A positive signal

Dealership AI is already here.

The first results are encouraging. CDK Global's 2024 survey of nearly 250 North American dealership executives and department heads found that 68 percent said AI had already made a positive impact on their operations. Reynolds and Reynolds surveyed more than 500 dealership personnel for its 2026 report on how dealers use AI and the benefits they see. These are vendor-published industry surveys, not independently measured outcomes, but they show that dealers are already putting AI to work.

Provider-reported results make the impact concrete. Toma reports that Boulder Nissan added 180 additional monthly service appointments, captured $23,400 in repair-order revenue, and saved its advisors 43 hours per month. Dealership Accelerator reports a 43 percent higher appointment show rate for a Southeast multi-rooftop group and 2.8 times more appointments booked for a Midwest import dealer. Pam reports across Dealer-FX rooftops a 70 percent booking rate on calls with scheduling intent, more than 50 advisor hours saved per month per rooftop, and more than $50,000 in monthly service revenue captured.

Toma, Dealership Accelerator, and Pam are pioneers helping dealerships answer calls, follow up with leads, and book appointments when staff cannot respond immediately.

That is an important beginning, and we are glad to see it working. But these products are still largely communications and marketing-channel layers connected to systems of record. Inventory decisions, acquisition, pricing, reconditioning, desking, funding, accounting, and cash movement remain split across the systems underneath.

Closing the capability gap

Giving dealerships more than a fighting chance.

Our vision at Lot IQ goes beyond creating a better DMS. A connected system of record is necessary, but it is the foundation—not the destination.

Today, the intelligence of a dealership is scattered across screens, spreadsheets, inboxes, text threads, and the memories of the people doing the work. The owner becomes the integration layer. Every answer requires opening another system, finding the right record, and reconstructing what happened.

The operator should be able to ask which vehicles are tying up cash, which customers are still waiting, why funding slowed down, or what changed since yesterday. The answer should not be another dashboard. The business should explain what happened, show the evidence, recommend the next step, and—when authorized—take it.

That requires what we call a Dealer Management Agent (DMA): an agent that can perform work alongside the team or on its behalf, carrying customer, vehicle, and decision context across the dealership. The goal is to give staff more time to focus on customers and the relationships only they can build.

Our DMS and the dealer's historical data serve as the starting point for an agent that learns how the dealership already works. It performs permitted, proven work and stops where judgment belongs to a person.

We are not rolling out the same generic OpenAI or Anthropic model to every dealership. We are building toward a shared foundational model. Every dealership gets its own adapter—a dedicated layer that shapes its behavior around that dealer's vehicles, repairs, lenders, customers, standards, and historical decisions.

Technology should carry context so customers do not have to repeat the same information in a text, in the showroom, at the sales desk, and again in finance.

This gives traditional dealerships the same class of operational reach that a venture-backed technology company builds for itself—without hiring an AI lab or a growth team, or spending six to seven figures on a digital transformation consultancy. The goal is not to turn an independent dealer into Carvana. It is to pair the operator's judgment with the operational reach to observe, coordinate, act, and learn.

6:12 p.m.

The lights can go off.

The last customer leaves with a car that fits, terms they understand, and the name of the person who will answer tomorrow. The team closes the gate.

The dealership does not stop. An agent keeps watching the title queue. It follows up on the missing document. It notices that two fast-selling models are below target. It prepares the auction search, updates the report, and leaves the decisions that matter for the morning.

No one stays to carry information from one screen into another. No one reconstructs the day after the day is over.

The measure of better dealership software will not be how long people spend inside it. It will be how much of their life it gives back, while pushing the business forward.

That is the dealership we are building Lot IQ for.