AGENTIC AI

Your Dealership Loses $180K/Year When Your Sales Team Sleeps

If you're a dealer principal watching leads evaporate after 6pm, you're bleeding revenue to stores with 24/7 AI response.

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AI DEVELOPMENT AT A GLANCE
  • Anthropic Claude
  • Next.js
  • Supabase
  • Twilio
  • Resend
  • Vercel
  • 95+LIGHTHOUSE AVG
  • 12+ yrsSENIOR-LED
  • Fixed feeNO SCOPE CREEP
  • 200+PROJECTS SHIPPED
CLUTCH 5.0 VERIFIED

Overview — 01

AI captures leads at 2am when your sales team is asleep. A Claude-powered inventory chatbot understands "I need a family SUV under $35K with third-row seating" and searches your real inventory, returning matches with photos and a Schedule Test Drive button. AI trade-in valuation captures high-intent leads: someone estimating their trade-in value is actively buying a car. AI lead scoring ranks incoming leads by vehicle interest, pages viewed, return visits, and urgency signals -- routing high-score leads to senior salespeople. AI follow-up generates personalised emails referencing the specific vehicles a customer browsed: "Hi Sarah, I noticed you looked at the 2024 RAV4 XLE. We just received one in Midnight Blue." AI service reminders track vehicle age and mileage to prompt oil changes, tire rotations, and brake inspections via SMS -- upselling your service department automatically.

Automotive AI Integration

Automotive AI integration connects large language models to your live DMS inventory, trade-in valuation feeds, and CRM to handle inbound buyer conversations around the clock. The system qualifies intent, surfaces relevant stock, and schedules appointments without human intervention. High-scoring leads are escalated to your sales team with a full conversation transcript and a recommended next action.

The gap — 02

What is holding your current website back?

Common gaps we find in nearly every audit.

Leads submitted after 6pm sit uncontacted until the next morning, by which point many buyers have already booked a test drive elsewhere.
Risk: First-responder advantage is lost permanently on those prospects, and your ad spend that generated the lead produces zero return.
Generic chatbots on most dealer sites cannot query live inventory, so they deflect to a contact form instead of showing the buyer a matching vehicle.
Risk: Buyers interpret a non-answer as poor selection and bounce to a competitor who can answer the question in real time.
Sales staff manually enter trade-in details from phone calls and walk-ins, creating inconsistent valuations and missed capture opportunities from web visitors.
Risk: High-intent trade-in shoppers, who are among your strongest purchase signals, leave without submitting their information because the friction is too high.

Safeguards — 03

How we build this right

Every safeguard, built in from Day 1.

CCPA and State Privacy Compliance

All conversation data collection is scoped to buyer-initiated disclosures. Consent language, data retention limits, and opt-out pathways are built into the chat flow to meet California and multi-state privacy requirements.

FTC Disclosure Adherence

The AI identifies itself as an automated assistant at the start of each session, satisfying FTC guidance on undisclosed AI interaction in commercial contexts and protecting the dealership from deceptive-practice exposure.

DMS Data Isolation

Inventory and customer data pulled from your DMS is processed in isolated API calls and never used to train third-party models. Credentials are stored in encrypted environment variables with role-based access controls.

Scope — 04

What we build

Purpose-built features for your industry.

Live Inventory Natural Language Search

The chatbot parses conversational queries against your real-time DMS feed, filtering by price, trim, drivetrain, seating, and availability. Results include stock photos, MSRP, and a direct link to the vehicle detail page, keeping the buyer on your site.

AI Trade-In Valuation Flow

Buyers enter year, make, model, mileage, and condition through a guided conversation. The system returns a range sourced from your preferred valuation provider and captures the lead with full vehicle details appended to the CRM record before the buyer exits.

Intent Scoring and CRM Routing

Each conversation is scored on signals including vehicle specificity, trade-in disclosure, financing questions, and appointment intent. Leads above the threshold are pushed to your CRM with a priority flag and assigned to the next available salesperson by stock category.

Appointment Scheduling Integration

The AI reads your showroom calendar availability and books test drives directly within the chat, sending confirmation to both the buyer and the assigned sales rep. No form submission or follow-up call is required to secure the appointment.

Stack — 05

Built on a modern, secure stack

Anthropic ClaudeNext.jsSupabaseTwilioResendVercel

Process — 06

Our development process

From discovery to launch. Quality at every step.

01

Discovery and DMS Audit

1 week

We map your current DMS export format, CRM fields, and lead routing rules. We identify which inventory attributes buyers query most often and confirm which valuation provider feed will be connected. Credentials and API access are provisioned.

02

Chatbot Build and Inventory Connection

2 weeks

We configure the Claude-powered chat layer with dealership-specific system prompts, inventory search logic, and trade-in flow. The bot is tested against your live stock to verify accurate filtering, photo retrieval, and edge-case handling for out-of-stock queries.

03

CRM Integration and Intent Routing

1 week

Lead records are mapped to your CRM schema and intent scoring thresholds are calibrated against your historical close-rate data. Escalation rules, notification templates, and round-robin assignment logic are configured and tested with your sales managers.

04

Go-Live, Monitoring, and Iteration

2 weeks

The integration is deployed to your production site with a staged rollout. We monitor conversation logs, missed-query rates, and appointment conversion for the first 30 days and refine prompts, filters, and routing rules based on observed buyer behavior.

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Related resources — 07

Solution Manufacturing AI Integration Solution Healthcare AI Integration Solution Logistics AI Integration Solution Salesforce AI Integration Solution Custom Database AI Integration Solution Ecommerce AI Integration

Questions — 08

Frequently asked questions

Here's how the math works out in real terms. AI chatbots capture roughly 5 additional leads per month that would've walked away during after-hours browsing -- these aren't phantom numbers, they're leads with names and email addresses who engaged with inventory. At a $3,000 average gross profit per deal, that's $180,000 per year in revenue that previously just evaporated. Build cost runs $8--15K depending on complexity, plus $500--1,000 per month in Claude API costs. So you're looking at ROI positive within 30 days on the conservative end. That's not a long payback period.
Every visit to your website leaves a trail. Which vehicles someone clicked on, how long they spent on each listing, whether they came back the next day, what tools they actually used -- finance calculator, trade-in estimator, search filters. We weight all of that into a score. Someone who's returned three times, ran the trade-in estimator on their current vehicle, and keeps pulling up the same Chevy Tahoe listing? That person gets routed to a senior salesperson immediately. Someone who visited once and looked at two listings? They go into an automated email sequence. Both get followed up -- but not with the same urgency, and not by the same people.
Yes, and this is one of the things that matters most in practice. The chatbot reads directly from your Supabase inventory database or your existing DMS feed in real time. Vehicle sells on Saturday afternoon? It's gone from chatbot responses by Saturday afternoon -- no lag, no manual update, no customer getting excited about something that isn't available. New inventory arrives Monday morning? The chatbot knows Monday morning. You don't have to retrain anything or update a knowledge base. It's just live.
Yes. When someone visits your site and leaves without converting -- which is most visitors, honestly -- Claude generates a personalised follow-up based on what they actually did. The specific vehicles they viewed, the price range they filtered, whether they used the trade-in tool. It's not a template with their first name dropped in. It's a message that makes clear you noticed what they were interested in, and that the vehicle they kept coming back to is still available. That specificity is what gets replies.

More solutions — 09

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Need enterprise scale?

200+ employee company? Complex multi-tenant, auction, or multi-location requirement? We have a dedicated enterprise capability track.

View Enterprise Hub

Get started — 10

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