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Automotive & Dealerships

AI ChatbotLead ScoringTrade-In Valuation

Chatbots IA et Scoring de Leads pour Concessionnaires Auto

Votre Concessionnaire Perd des Acheteurs Chaque Nuit Où Vous Êtes Fermé

30%+

Conversion Lift

Avg. across deployments

24/7

Lead Capture

Zero missed inquiries

<2s

Response Time

Inventory + valuation

95+

Lighthouse Score

Performance target

What an Automotive Chatbot Actually Does — And What It Stops Bleeding

Your inventory page goes live at midnight. A buyer lands, types "red SUV under 35K with third row," and your site just… sits there. No rep awake. No callback until 9am. They've moved on. Automotive AI chatbot development gives your dealership a conversational layer that mirrors how your best salesperson talks — pulling VIN-level results from your DMS, walking buyers through trade-in valuation in under ten seconds, pre-qualifying financing before F&I ever picks up the phone. It scores each lead by intent and routes hot prospects to your closers while cold tire-kickers get nurtured. The math is simple: 60% of after-hours inquiries die without instant engagement. Your chatbot doesn't sleep, doesn't forget to follow up, and never wastes time on a buyer who won't convert for six months. That's not automation for automation's sake — it's your sales process running 24/7 without burning out your team.

Où les projets échouent

Leads go cold overnight because nobody's there to respond 60% of after-hours inquiries never convert without instant engagement — that's a lot of deals walking out the door while your team sleeps.

Your sales staff waste hours answering the same inventory and pricing questions on repeat High-value reps spend 40% of their day on tasks a bot handles in seconds. That's not a people problem — it's a process problem.

Trade-in estimates still require manual lookup and callback scheduling at most dealerships Customers don't wait. They go find a competitor who'll give them a number online right now.

There's no reliable way to tell a tire-kicker from a ready buyer So the sales team treats every lead the same and burns time on people who won't buy for six months.

DMS and CRM data sits in silos with no real-time customer-facing layer Inventory shown on your site goes stale, and when a customer shows up asking about a car that sold three days ago, trust takes a hit that's hard to recover from.

Off-the-shelf chatbot platforms charge per-seat monthly fees that don't scale well at all Multi-location dealerships end up paying $500-$600/month per rooftop and still don't own any of the technology.

Conformité

Real-Time Inventory Sync

Your chatbot pulls live data from CDK, DealerSocket, or whatever DMS you're running, via API. Customers see accurate stock, real pricing, and VIN-level details — no stale listings, no awkward corrections.

AI Lead Scoring Engine

Every conversation gets scored by purchase intent using behavioral signals: budget mentions, trade-in discussion, financing questions, urgency language. Hot leads get routed instantly, before they have a chance to cool off.

Instant Trade-In Valuation

Customers enter year, make, model, mileage, and condition. The AI returns a market-adjusted estimate using live auction data and local comps — and captures the lead at the same time. The whole thing takes under 10 seconds.

Hybrid Human Escalation

When a conversation hits a real decision point — financing negotiation, test drive scheduling, handling an objection — the bot hands off to a human rep with the full chat context already loaded. Your rep walks in knowing exactly where the customer stands.

Multi-Channel Deployment

One AI deployed across your website, SMS, Facebook Messenger, and WhatsApp. Every channel feeds into a single CRM record per customer, so nothing gets duplicated or lost.

TCPA & Privacy Compliant

Consent capture, opt-out handling, and data retention policies are built into every interaction. No regulatory surprises when you scale to five, ten, or twenty rooftops.

Ce que nous construisons

Answer inventory and pricing questions instantly — no rep required, no form submission, no waiting until morning

Buyers search your inventory conversationally and get real-time DMS results without dropdowns or dead-end forms

Collect trade-in details and return market-backed valuations in seconds while competitors still require callback scheduling

Trade-in valuations happen in a guided chat flow that collects vehicle details and returns live market data in under ten seconds

Classify leads by buyer intent so your closers spend time on ready buyers instead of cold prospects who won't convert for months

Hot leads land in your closers' queue automatically while warm prospects enter nurture sequences — no guessing who deserves the callback

Waste sales hours answering repetitive questions that a bot handles in three seconds flat

Test drives get booked with calendar sync and SMS confirmation while your team sleeps — zero phone tag

Show stale inventory because your DMS and site don't sync — then watch trust evaporate when a buyer asks about a car sold days ago

Financing pre-qualification collects credit range and monthly budget before the F&I conversation starts — both sides walk in knowing the numbers

Pay per-seat SaaS fees that scale terribly across multiple rooftops and still leave you owning nothing

Multi-location operators see conversation volume, lead scores, and conversion metrics across every rooftop in one admin panel

Notre processus

DMS & CRM Audit

We start by mapping your existing dealer management system, CRM, and inventory feed structure — identifying API endpoints, data freshness intervals, and anywhere the integration breaks down.

Week 1

AI Architecture & Training

Then we design the conversation flows, train the language model on your inventory data, trade-in logic, and dealership-specific FAQs. Lead scoring rules get calibrated against your historical close data, not generic industry benchmarks.

Weeks 2-3

Frontend & Channel Build

The chat widget gets built in Next.js with your brand styling. We wire up SMS via Twilio, plus Messenger and WhatsApp endpoints — all feeding into a unified Supabase backend.

Weeks 3-4

Integration & Load Testing

Live DMS sync, CRM write-back, and escalation routing get stress-tested across peak traffic scenarios. We validate inventory accuracy and response latency under real load before anything goes live.

Week 5

Launch & Optimization

We deploy to production with real-time monitoring in place. For the first 30 days, we track lead quality, conversion rates, and conversation drop-off — tuning AI responses and scoring thresholds every week based on what we see.

Weeks 6-8

Next.jsVercelSupabaseOpenAI APILangChainPostgreSQLRedisCDK Global APIDealerSocket APITwilio

Questions fréquentes

Comment le chatbot IA se connecte-t-il à mon système de gestion de concessionnaire ?

Nous créons des intégrations API directes avec CDK Global, DealerSocket, Reynolds & Reynolds, et DealerTrack. Le chatbot interroge votre DMS en temps réel pour l'inventaire, les prix et la disponibilité. Si votre DMS n'a pas d'API moderne, nous mettons en place une couche de synchronisation programmée qui actualise les données toutes les 5 à 15 minutes pour garder les réponses précises.

Quelle est la précision des évaluations d'échange générées par l'IA ?

Le moteur d'échange tire des données de ventes aux enchères de gros en direct, des comparables du marché local, et des modèles de dépréciation ajustés selon l'état. Les estimations se situent généralement à 5-8% de la valeur d'expertise finale. L'objectif n'est pas de remplacer votre expert — c'est de donner au client un chiffre crédible qui le garde engagé au lieu qu'il se tourne vers un concurrent.

Le chatbot peut-il gérer plusieurs emplacements de concessionnaire ?

Oui. L'architecture multi-points de vente achemine les conversations en fonction de la localisation, la marque et la disponibilité de l'inventaire. Chaque emplacement peut avoir son propre accueil, ses horaires et ses règles d'escalade tout en partageant un cerveau IA unique et un tableau de bord d'administration. Les modèles de scoring des leads peuvent aussi être calibrés par point de vente en fonction des taux de fermeture historiques de chaque emplacement.

Que se passe-t-il quand l'IA ne peut pas répondre à la question d'un client ?

Le bot exécute un scoring de confiance sur chaque réponse. Quand la confiance chute sous un seuil configurable — ou quand le client demande simplement une personne — la conversation s'escalade vers un agent vivant par votre canal préféré. L'agent reçoit la transcription du chat complète, le score du lead, et les préférences du client avant de dire un seul mot.

Comment fonctionne le scoring IA de leads pour les concessionnaires auto ?

Le moteur de scoring analyse les signaux de conversation : mentions spécifiques de véhicules, divulgation de budget, discussion d'échange, questions de financement, langage d'urgence, et fréquence de visite récurrente. Chaque signal porte un score pondéré calibré selon les données de conversion de votre propre concessionnaire — pas celles de quelqu'un d'autre. Les leads sont classés en niveaux et acheminés automatiquement au bon vendeur ou à la bonne séquence de nurturing.

Je possède le chatbot IA ou je paie des frais mensuels SaaS ?

Vous possédez la base de code et le modèle entraîné. Nous construisons sur une infrastructure ouverte — Next.js, Supabase, et des frameworks LLM open-source — donc il n'y a pas de verrouillage SaaS par siège en attente de vous mordre quand vous grandissez. Vos seuls coûts récurrents sont l'hébergement (généralement $50-$200/mois sur Vercel) et l'utilisation des API pour le modèle de langage, qui évolue avec le volume réel de conversations.

Dealership AI Chatbot from $12,000

Fixed-fee build. 30-day post-launch tuning included.

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