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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.

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.

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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.
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