MIA turns dealership website chat into an automotive virtual assistant. It uses available page and vehicle context, qualifies the request, and prepares an appointment or team handoff.
A form collects fields; website chat lets visitors explain what they need in their own words. MIA adapts questions to the page, vehicle, and intent.
The agent stays within connected information and configured rules, escalating when data or human judgment is required.
MIA can retain the vehicle-page context and gather availability, budget, finance, trade-in, or test-drive needs.
Inventory, pricing, and specifications are used only from authorized connected sources.
Sales and service use different questions, calendars, and routing. MIA can distinguish the request and collect the fields required by each workflow.
The BDC or service team receives the conversation and open next step rather than an isolated contact detail.
A visitor types “hybrid SUV under $30k”. MIA searches the connected inventory with filters, free text and semantic search, and answers with vehicle cards instead of a link to the search page.
Each card shows list price and sale price, with the discount. When there is no exact match, MIA offers the closest cars and says they are alternatives.
The knowledge base is built from your website (one page, a URL list, the whole domain or the sitemap) and from PDF, Word or Excel documents. It refreshes on its own, from hourly to weekly. For each document you choose whether the customer-facing AI, the internal AI or both can use it.
Brand promotions are read from PDFs and web pages with their validity dates, linked to cars in stock, and expire on their own. The chat does not offer a deal that has ended.
A machine-learning model decides when to show a message or open the chat, with an opener written by the AI. The model is retrained weekly and openers are A/B tested.
Caps per session and per page and cooldowns keep it in check. No invitations while an operator is handling the chat or after the visitor says “no thanks”.
Page, source, vehicle, conversation, and collected details can be synchronized under the agreed CRM integration.
Measure conversations, response time, qualification, contact capture, and handoff first; appointments and sales require consistent outcome data.
MIA tracks the website first-party: visits, landing pages, referrers and UTMs, forms submitted, chats opened and chat conversions. Visitors are linked to customers in the CRM.
Standard ASC v1.1 chat events (asc_comm_engagement and asc_comm_submission, sales or service department) are pushed to your site’s GA4 dataLayer.
What to verify before adding an AI assistant to a dealership website.
Not necessarily. Chat, forms, and direct contact can coexist based on page and intent.
It can use inventory and vehicle information from authorized connected sources. Available fields and update frequency are reviewed before activation.
Yes. Escalation rules can involve the BDC, sales, or service while preserving page, vehicle, and conversation context.
It can collect the request and, where the calendar integration supports it, propose or record a slot.
Webchat, WhatsApp, and voice in one operational layer.
From a qualified conversation to human handoff and CRM.
Conversation continuity, authorized follow-up, and team control.
When the customer would rather call: same qualification, same handoff to the team.
Visitors who search for a service appointment reach the workshop with the full request.
Connect page, vehicle, conversation, stage, and next step.
We configure a demo around vehicle pages, sales and service requests, qualification, appointments, and team handoff.
Request a MIA demo