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Answering lead inquiries by phone, writing appointments into paper calendars, keeping track of parts inventory in your head, guessing why that car isn't selling — these are the daily friction points faced by auto dealerships, service centers, and spare parts businesses. ADWEBX builds AI agent and automation systems purpose-built for the automotive sector: from 24/7 WhatsApp lead qualification to service appointment automation, parts pricing queries to customer win-back flows. Not off-the-shelf software integrations — systems designed around the specific workflows of your dealership, service bay, or parts warehouse.
A large share of the time lost in a dealership or service center is hidden in repetitive questions. 'Is that car still available?', 'What is the price on that part?', 'Do you have Saturday appointments?' — while a sales consultant or receptionist works through these queries, a warm lead is getting a quote from a competitor. An AI agent answers every one of these recurring questions without staff involvement, at any hour, and only routes the customer who genuinely intends to buy to the team. The result: less staff time consumed, fewer leads lost, more deals closed.
The majority of automotive buyers in Turkey initiate first contact via WhatsApp. A prospect who messages 'what would this car cost me?' at 11 PM on a Saturday and receives no answer by morning has already moved on. The WhatsApp AI agent ADWEBX deploys for dealerships instantly greets every incoming message, collects vehicle model and budget information in a structured format, schedules inspection or test-drive requests in the calendar, and notifies the sales consultant of a qualified lead. The system has no working hours; even when the showroom is closed, the lead pipeline keeps running. Reach us at wa.me/905322477388 to get started.
The two biggest problems at any service reception desk are unfilled appointment slots and customers who cancel without notice. An AI-assisted scheduling system captures service requests received via WhatsApp or the website, then suggests the right technician and the right time slot based on make, model, and the described issue. The system sends the customer an automated reminder one day and two hours before their appointment. For customers who still do not show, it offers an alternative slot. The team focuses on actual repairs instead of managing the appointment book by hand. Service capacity stops going to waste.
Parts wholesalers and service businesses field the same questions dozens of times each day: 'Do you have this OEM number in stock?', 'What is the dealer price?', 'When will it ship?' — having staff answer each of these queries wastes time and introduces error risk. ADWEBX builds an AI query agent that connects to your existing parts database or spreadsheet. A customer or dealer types a part number into WhatsApp or a web form; the system returns real-time stock availability and pricing, and communicates lead times when the part is out of stock. Staff are only involved at the point of order confirmation.
A test-drive or inspection request is the customer touchpoint closest to the sale — delay or friction at this moment means a lost transaction. The AI agent captures the customer's preferred date, time, and vehicle model from WhatsApp, matches against the dealership calendar in real time, and sends a confirmation message within seconds. For transactions that require coordination with a third-party inspection firm or independent valuation service, an agentic workflow can be configured for that as well. By the time the customer arrives at the showroom, the sales consultant is already informed and prepared.
For a dealership, the real value lies in repeat sales, service agreements, and referrals. Yet after the sale closes, customer contact typically drops to zero. The post-sale AI flow ADWEBX configures sends a satisfaction check-in at set intervals after vehicle delivery, prompts a service appointment when the first annual inspection date approaches, and initiates outreach with new model information when the customer's vehicle replacement cycle is estimated to be complete. Because these messages are personalised and timed, they perform very differently from bulk SMS or email blasts; the customer remembers you before they think of a competitor.
In the second-hand market, the mismatch between dealer inventory and buyer expectations is one of the main drivers of long selling cycles. The AI matching system compares your dealership's current stock data against customer search profiles — budget range, brand preference, year, and mileage filters. When a vehicle is added to inventory, the system automatically notifies customers whose profiles are a close match; instead of a generic 'new car in stock' push, the customer receives a 'a vehicle close to your search criteria just came in' message. Works from your own database without platform dependency.
ADWEBX automotive AI projects are delivered in four stages. In the first stage we map the business's existing workflows: which questions consume the most staff time, which data sources exist (inventory spreadsheet, CRM, appointment calendar). In the second stage we prepare the agent architecture and integration plan specific to those workflows. In the third stage the system is built, tested, and run through real scenarios with the team. In the fourth stage it goes live; ADWEBX monitors the system's flow and response quality through the first month and makes adjustments. If you already have a CRM or management software, integration is the priority; if not, a standalone infrastructure is deployed.
Having every customer interaction managed by a human is neither scalable nor necessary. ADWEBX dealership and service AI systems define precisely where human involvement is required: recurring information queries, appointment confirmation, and parts lookups are handled by AI; price negotiation, objection handling, technical consultation, and financing assessment are routed to the team. This separation protects customer experience and channels the sales consultant's energy toward transactions that can actually be closed. The system never makes the user feel like they are talking to a robot; the flow unfolds like a natural advisory conversation.
ADWEBX does not publish a fixed price list for automotive AI projects; every dealership and service center has a different operational structure. Project scope, the data sources to be integrated (inventory system, CRM, appointment calendar), the number of agents, and the depth of customisation determine the price. To receive a detailed proposal, submit a request through the /analysis page or reach us directly at wa.me/905322477388. Before preparing a quote, ADWEBX conducts a brief assessment session to understand the business's workflows — at no charge. Our priority is to define, together with you, a scope that delivers measurable business results.
Automotive dealership and service AI systems process customer contact information, vehicle preferences, and appointment data. ADWEBX ensures that data processed within the systems it builds is used exclusively within the defined business workflow — it is never shared with third-party advertising platforms or used for model training. Obligations under Turkish data protection law (KVKK) and customer consent flows are clarified at the start of the project. Documentation specifies which data the system retains and which data is processed transiently and deleted. Data security and privacy configuration is part of the technical project scope from day one, not an afterthought.
There are many general-purpose chatbot and automation tools on the market. Most do not understand how a dealership or service center actually works: they cannot connect to an inventory database, cannot distinguish between vehicle models, cannot manage multi-step transactions like inspection scheduling, and cannot structure a post-sale lifecycle. ADWEBX builds systems grounded in the operational reality of the automotive sector — not by stitching together off-the-shelf SaaS tools. The systems we deliver run on your dealership's or service center's own logic and integrate without disrupting team habits. Visit the /analysis page to start your free initial assessment, or review the full scope of our AI agent services at /services/ai-agents.
If you would like detailed information and a proposal for AI systems tailored to your automotive business, fill in the form on our /analysis page or contact the ADWEBX team via WhatsApp at wa.me/905322477388. The initial consultation is free of charge.
In most cases, yes. ADWEBX reviews your existing CRM, inventory spreadsheet, or scheduling software at the start of the project and assesses integration options. Systems with API access are connected directly; where no API exists, secure data bridges or periodic synchronisation methods are used. Simply mention the name of your current software in the /analysis form.
Yes. In the systems ADWEBX deploys, the team can monitor all conversations and lead records from a central dashboard. A customer who shows strong purchase intent is automatically routed to a designated consultant, who picks up the conversation with full history visible. Additionally, instant notifications are sent to the team when specific keywords or actions are triggered — such as a price request or an appointment inquiry.
Yes. The system recognises each technician's area of expertise and working schedule, and routes incoming appointment requests to the right technician based on both job type (oil change, tyres, electrical fault, etc.) and availability. When capacity is full, it automatically suggests the next available slot. Service types and technician structure are configured during the project setup stage.
This feature can be included in the project as an additional module. When vehicle details (make, model, year, mileage, trim) are entered into the system, the AI generates ready-to-publish listing copy and title suggestions for Sahibinden, Arabam, or your own website. SEO-friendly descriptions and image alt text can also be produced. Indicate in the /analysis form that you want this included in scope.
Depending on the complexity of the scope and the state of the data sources to be integrated, average deployment time is two to four weeks. After going live, ADWEBX monitors conversation quality and lead flow for the first month and makes necessary adjustments. After the pilot period, the business can operate the system independently; a monthly monitoring and optimisation service is also available for those who prefer it. For details, visit /services/ai-agents or contact us at wa.me/905322477388.
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