Your AI sales employee

The knowledge of your top salespeople, serving every shopper 24/7.

Cartender builds a virtual extension of your top performers: it converses naturally, translates each shopper's needs into vehicle characteristics, recommends matches from live inventory, and hands your team qualified leads with the full story attached.

  • AI vehicle advisor
  • On duty 24/7
  • No waiting line
  • Needs resolved
The translation layer Shopper · Saturday, 9:14 pm

AWD / 4WDSUV or wagonHigh ground clearanceWinter package

Matched against live inventory

01 · Buyer reality

The sale is decided online. By undecided buyers.

71%
start undecided

Only 29% are certain of the vehicle when the search begins.

2.5×
more time online than in-store

7h 13m researching online vs 2h 54m at the selling dealership.

25%
researched with AI, off your site

ChatGPT, Copilot and AI overviews during their last purchase. None of it visible to the dealership.

Cox Automotive · Car Buyer Journey Studies 2024-2025

02 · The problem

The leads you already pay for are slipping away.

42.7%

are mishandled

Across 22,900+ dealership websites (Foureyes, 2026).

15.2%

are never logged

Lost to voicemail, unanswered calls and inboxes; they never reach the CRM (Foureyes).

63%

get no reply in 24 hours

No personal response from a salesperson within a day of the inquiry (Foureyes).

14%

are never answered

Website inquiries that never get a personal reply, only an autoresponder, in Pied Piper's 2026 mystery-shop of 3,290 dealerships.

$705

of ad spend behind every sale

$8.9B across franchised dealers in 2024 (NADA). You already paid to bring every shopper in; support them when they land.

61%

close within 3 days

Of the leads that turn into sales, most close within days of the inquiry. Speed and support decide (Foureyes).

Foureyes Industry Benchmarks 2026 · Pied Piper ILE Study 2026 · NADA Data 2024

03 · The website gap

How many visitors keep leaving without engaging, because no one is there to guide them?

Search and filters serve the shopper who already knows the vehicle. The other 71% get a grid of inventory and no guidance, and leave without a trace. Every day, since the site went live.

04 · The solution

Bring the AI they already use onto your inventory.

Buyers already trust AI for model comparisons, feature explainers and price sanity-checks. The only question is whose site hosts that conversation.

AI in the wild

Helpful, but blind to your lot

The AI buyers consult today is generic by design.

  • Trained on the open internet, not your stock
  • No live pricing or availability
  • Can't book a test drive or value a trade
  • Every question asked there is invisible to you

Your AI advisor

Same experience, grounded in your stock

The research buyers already do, moved onto the dealership's own site.

  • Answers from live inventory and approved pricing
  • Books test drives and captures the lead
  • Hands your team the full context
  • Every question feeds your demand dashboard

Use case in. Matched inventory out.

  1. 01Capture use case, priorities and budget
  2. 02Ask only for what's missing
  3. 03Convert answers into vehicle attributes
  4. 04Filter the dealership's live inventory
  5. 05Explain why each vehicle fits
  6. 06Capture the lead or book the test drive

05 · The experience

The informed shopper, in one sentence.

“Looking for a low-mileage half-ton that'll tow my 7,000-pound boat. Crew cab, ideally diesel, and I want to stay under $45K.”
translates to Used Full-size pickup Tow ≥ 7,000 lb Crew cab Diesel preferred Low mileage ≤ $45K

A shortlist built by conversation, not by filters.

Best fit

2022 Ram 1500 Laramie EcoDiesel

The diesel ask, a tow rating well beyond the boat, and a quiet crew cab.

Trade-off named

2021 F-150 XLT SuperCrew 4×4

No diesel, but more towing headroom for thousands less. The advisor says which constraint it relaxed, and why.

Newest in budget

2023 Silverado 1500 LT Duramax

Diesel torque, crew cab and the newest model year under $45K, still at low mileage.

Illustrative inventory. From here: compare · estimate payments · value a trade · save the shortlist · schedule a test drive

How the advisor sells

No waiting line

When ten shoppers arrive at the same time, all ten get its full attention.

Work that would take a whole shift of staff, answered in the moment it is asked. And most of this guidance happens at night, when no one is on shift.

06 · Dealer value

A lead with context beats a lead with a stock number.

A typical website lead

Contact + stock number

Name, email, phone, one vehicle, and no context.

  • Unknown use case
  • Unknown priorities
  • Unknown objections
  • Generic follow-up call

A Cartender-qualified lead

Intent + shortlist + next step

The mountain shopper from the opening example, fully profiled before the first callback.

  • Winter weekends · canyon driving
  • AWD non-negotiable · budget $38K after one follow-up
  • Open between SUV and wagon
  • Three shortlisted VINs
  • Saturday test drive requested

Cox Automotive, 2024: context-rich "enhanced" leads are 55% more likely to buy

07 · Business value

Where the extra sales come from.

1 in 4
new-vehicle purchases involved AI

25% of buyers used AI on the way to a completed purchase (Cox 2025). Host that conversation on your site.

+55%
purchase likelihood, context-rich leads

And the advisor makes every captured lead context-rich (Cox 2024).

81%
believe they got the best price

AI-assisted buyers vs 67% without; satisfaction 84% vs 71% (Cox 2025).

Cox Automotive · Car Buyer Journey Studies 2024-2025

08 · Demand intelligence

Every conversation becomes structured buyer intent.

Vehicle demand

Body styles, makes, models and trims, plus new vs used vs CPO interest.

Feature demand

AWD, towing, safety, third row, fuel economy, EV and hybrid interest.

Affordability

Price and payment ranges, lease interest, budget objections.

Missing inventory

Repeated no-match searches: demand leaving the lot, invisible today.

Recommendation quality

Vehicles suggested often but rarely chosen or acted on.

Buyer objections

Price, mileage, financing, condition, trust, ownership cost.

The metric we tune relentlessly: booked test drives per hundred conversations.

What we do with the data

09 · Reported AI impact, sales side

What dealers report when AI helps them sell.

+26%
appointments converted

CRM teams using generative AI (Cox VinSolutions); Impel reports +33% set rates platform-wide.

41%
faster lead response

On non-autoresponder leads (Sandy Sansing dealerships, via Tekion).

6+ h
of selling time back, per day

30-45 min saved per agent on AI summaries and drafted replies (Carl Black, via Tekion). A 10-agent floor recovers a full-time head.

Cox VinSolutions platform data · Tekion dealer reports · Impel aggregate. Vendor-reported figures, not Cartender results: your pilot produces your store's own numbers.

10 · The investment

Rent a widget, or hire your AI employee.

The generic subscription puts one conversation flow on thousands of rooftops, tuned to their average. It can search your inventory. It cannot sell it. Cartender is custom development: built to sell in your voice, invested in your outcome, and wired into the tools your teams already run.

Custom AI designed to sell outperforms generic, every single time.

Why custom development

11 · Impact first, in 4-8 weeks

Live on your stores in weeks.

  1. 01

    Define features and project scope together

  2. 02

    Set timelines: the core experience suggested in 4-8 weeks

  3. 03

    Scheduled, feature-driven delivery: additional features ship as they are ready

  4. 04

    Evaluate engagement and recommendation quality in continuous feedback loops

The dealership outcome

A confident buyer. A prepared salesperson. An intelligence-driven dealership.

Every visitor gets guidance the moment they land. The showroom picks up exactly where the conversation left off: requirements, shortlist and next step in hand.

  • Higher conversion
  • Qualified leads
  • Staff hours back
  • Demand intelligence