The automotive industry is undergoing major changes, driven by the rise of electric cars, the arrival of new entrants such as Chinese brands BYD, Nio, and Xpeng, and the challenges associated with the green transition. Established manufacturers such as Renault, Citroën, Peugeot, Audi, and Toyota must adapt to new environmental regulations and increased competition. At the same time, players such as Tesla are seeing their position challenged, caught between market diversification and Elon Musk’s controversial strategic choices. In this context, customer experience is becoming a crucial differentiator.
In response to these developments, digital technology is becoming increasingly strategic. Conversational artificial intelligence, via chatbots, callbots, or Livechat, is emerging as a lever for efficiency and performance in pre-sales, customer service, after-sales service, and internal uses. According to an ICDP study, 65% of customers consider responsiveness to be a key factor in satisfaction with automotive after-sales service. These technologies enable responsiveness, personalization, and fluidity throughout the customer journey.
Overview of use cases for conversational AI in the automotive industry
Pre-sales & marketing
Conversational AI enables you to engage customers early in their purchasing journey and effectively qualify their needs:
- Lead qualification: the chatbot interacts with the visitor, asks a few questions (budget, type of vehicle, location, etc.) and passes on a qualified lead to the sales teams.
- Vehicle configuration: guided and interactive support in choosing the model, engine, finishes, and options.
- Test drive booking: online booking of a test drive at a dealership or at home, with management of available slots.
- Promotion & marketing campaigns: sending personalized offers or news via instant messaging (WhatsApp, Messenger, etc.).
After-sales
After-sales service remains a key point of contact for customer loyalty. AI can automate and improve several steps:
- Workshop appointment booking: a chatbot or callbot guides the customer and suggests available slots.
- Simple fault diagnosis: the bot asks questions to identify symptoms before a visit to the workshop.
- Parts/accessories ordering: assistance in finding and purchasing compatible accessories or parts.
Conversational AI also allows after-sales teams to refocus on high value-added tasks. By automating responses to simple questions (appointments, warranties, availability), it frees up time for more personalized support, which is conducive to selling additional services such as servicing, warranty extensions, or maintenance contracts.
Customer relations & support
Conversational AI improves service quality and guarantees continuous availability:
- 24/7 support (hotline): automated responses to frequently asked questions (FAQs: warranties, delivery times, maintenance, etc.).
- Assistance in the event of a breakdown or accident: initiation of a breakdown procedure or direct contact with emergency services.
- Complaint handling: first level of automated management, with referral to the right human contact if necessary via a live chat escalation.
Network support and internal use
Conversational AI doesn’t just benefit customers: it also improves the operational efficiency of internal teams.
- Sales team support: an internal chatbot provides quick answers about offers, products, stock, etc.
- Sales and advisor training: conversation simulator bots can train employees on customer cases or sales scenarios.
Case study: Renault & Dydu: a chatbot serving the network
At Renault, conversational AI is not limited to customer interaction. The manufacturer has also chosen to digitize its internal sales support tools using a chatbot developed with Dydu.
The context: to address cost and support availability issues, particularly on weekends and open days, Renault launched the Move Maeva chatbot in 2023 for salespeople and sales managers in its French network (approximately 5,000 users).
The objectives:
- Eliminate telephone support while maintaining a high level of assistance.
- Automate level 1 responses.
- Centralize requests via a ticketing system integrated into the bot.
- Ensure 24/7 availability.
The results:
- More than 102,000 visitors and 12,900 interactions since launch.
- A 90% understanding rate.
- Better traceability of requests thanks to the centralization of tickets in the associated tool.
Collaborative bot management: a dedicated team of six people works on chatbot maintenance, relying on monthly workshops to analyze conversations, enrich the knowledge base, and refine the relevance of responses.
A promising project: appreciated by both support teams and field users, Move Maeva has enabled Renault to improve the quality of support while lightening the operational load. Developments are already underway, such as the ability to add attachments to tickets and the integration of a live chat for complex requests.
This use case perfectly illustrates how conversational AI can go beyond external customer relations to boost the efficiency of internal teams in an environment as demanding as car sales.
Dydu, partner to automotive brands
At Dydu, we support players in the automotive sector with a comprehensive range of tailored conversational solutions:
- Callbot: accessible by phone, it qualifies calls, automates appointments, and reduces waiting times.
- Chatbot: integrated into your website, mobile app, or instant messaging service, it offers seamless, personalized assistance.
- Livechat: complementing the chatbot, it allows complex requests to be transferred to a human advisor for seamless, continuous support.
Our technologies integrate easily with your business tools (CRM, workshop scheduling, ticketing, etc.) and comply with industry security and confidentiality standards.
Whether you’re looking to attract new customers, streamline after-sales service, or support your internal teams, conversational AI is a strategic lever for staying competitive in a rapidly changing automotive market. Responsiveness, personalization, availability, efficiency: these technologies improve both the customer experience and team performance. At Dydu, we put our expertise at the service of brands to transform these challenges into concrete results.
