DealerAI is more than just a chatbot; it is a comprehensive solution. While it includes an AI chatbot for immediate customer engagement, it also features an advanced follow-up system. This system intelligently determines when and how to re-engage with prospects, ensuring that you stay connected and nurture relationships effectively.

The DealerAI chatbot represents a comprehensive AI solution, fully automated to deliver instantaneous, reliable, and precise responses to customer inquiries. It operates autonomously to ensure a seamless customer experience. Nevertheless, we also offer the flexibility of a fallback mechanism. If you opt to do so, you have the ability to take control of the conversation from the AI at any point. Furthermore, once your interaction is concluded, you can seamlessly return control back to the AI, combining the advantages of automation with human oversight as needed.

Yes, DealerAI offers more than just a front-facing chatbot for your website. It possesses the capability to analyze conversations intelligently and determine when it’s appropriate to initiate follow-ups with your customers. Moreover, we provide you with the means to customize the AI’s behavior, allowing you to fine-tune how it engages with your customers, ensuring that the follow-up process aligns perfectly with your organization’s unique requirements and preferences.

Absolutely, you have the flexibility to tailor and refine the AI according to your dealership’s unique needs. Through our user-friendly backend portal, you can input essential data for the AI to learn and adapt from. This includes details such as your staff information, operating hours, holiday schedules, and the specific services you offer. DealerAI’s customization capabilities empower you to fine-tune the AI’s responses, ensuring that it aligns seamlessly with your dealership’s identity and requirements.

Thank you for your interest in DealerAI. Our chatbot, DealerAI, is designed to provide efficient online customer support. It doesn’t read your website like a human would, but it’s equipped with AI capabilities that enable it to understand and respond to customer inquiries effectively. It leverages predefined information and patterns to provide accurate responses, ensuring a seamless customer experience on your website. While it doesn’t read your website automatically, it can be trained on your data, if supplied.

DealerAI utilizes OpenAI’s ChatGPT, which boasts multilingual capabilities. This means that you can initiate a conversation in a specific language, and the chatbot will seamlessly engage with you in that language. Moreover, should you decide to switch languages during the conversation, DealerAI remains versatile and capable of comprehending and responding in the new language, ensuring a smooth and convenient multilingual interaction.

DealerAI incorporates a unique blend of its own Neuron AI engine and the capabilities of OpenAI’s ChatGPT. It’s important to note that DealerAI was developed 1.5 years prior to the release of ChatGPT. As of the current date, the responses generated by DealerAI are powered by OpenAI, drawing from a rich pool of information that includes input from DealerAI’s Neuron engine, the user’s query, as well as your organization’s specific data and preferences. This synergy ensures that you receive accurate and contextually relevant responses to enhance your online customer support.

Before integrating ChatGPT, DealerAI was constructed using a combination of technologies, including Microsoft LUIS, QnA, and Google’s AutoML. This architecture allowed DealerAI to extract user intent from their queries and guide them through specific workflow dialogs based on that intent, taking into account details like vehicle models and trims. To enhance language understanding, we provided a dedicated dataset for training.

However, this previous system had its limitations, notably in terms of false positives and the ability to engage in dynamic, free-flowing conversations. With the introduction of OpenAI’s ChatGPT, these challenges were effectively addressed. Despite this transition, we’ve retained the foundational infrastructure that positions DealerAI within the specialized context of the automotive industry. This unique blend of technologies and expertise continues to make DealerAI a powerful and precise solution for online customer support within the automotive sector.

DealerAI is designed to maintain conversational context throughout a customer’s interaction. This means the system doesn’t treat each question as isolated, but instead carries forward relevant details from earlier in the session. For example, if a customer begins by asking about SUV availability and later asks, “What colors do you have?”, DealerAI understands that the second question is still referring to SUVs, not starting a completely new search. This continuity helps conversations flow naturally and avoids customers having to repeat themselves.

The platform also adapts to changing contexts. If the customer shifts topics—for instance, moving from SUV inquiries to financing options — DealerAI recognizes the change and responds accordingly, while still retaining the earlier context if the customer circles back.

In addition, when a customer navigates across different Vehicle Detail Pages (VDPs) during a session, DealerAI is context-aware and can discern which specific vehicle the customer is asking about. For example, if a customer views one vehicle and then moves to another VDP before asking about features or availability, the system automatically anchors its responses to the current vehicle being discussed.

At the technical level, context management is achieved through session-based memory, where key entities (vehicle type, trim, budget, contact preferences, and even the active VDP) are tracked within the ongoing dialogue. The system uses this stored information to personalize responses, guide the conversation logically, and ultimately make it feel less like a script and more like a helpful human conversation.

Yes, our communication mediums (chat, sms, and email) supports interactive multimedia (hosted video or YouTube video), and users can play the video directly inside the chat (not via an outbound link).

Yes. DealerAI continuously improves based on the conversations it handles. The system is designed to learn from real customer interactions — capturing patterns, identifying gaps, and refining responses over time.

DealerAI uses a separate LLM model to evaluate conversations, highlighting information gaps, recurring patterns, and opportunities for improvement. These insights are then reviewed by data scientists and engineers, who refine prompts and fine-tune the model to ensure accuracy, consistency, and alignment with dealership needs.

Importantly, DealerAI does not “self-train” in isolation or feed back on its own outputs. Instead, improvements are driven by actual dealership conversations combined with human oversight. This approach ensures reliability and control, while enabling the platform to adapt to evolving customer behavior, dealership processes, and industry trends.

As a result, DealerAI becomes more effective the longer it is in use, continuously enhancing the customer experience and supporting dealership staff with higher-quality interactions.

DealerAI is designed to handle natural, human-like conversations that often involve complex questions and multiple back-and-forth exchanges. The system supports multi-turn dialogue, meaning it carries context across the session so customers don’t need to repeat themselves.

To manage different types of conversations, DealerAI uses a multi-agent AI approach. This allows the platform to seamlessly switch between specialized agents. For example, one focused on vehicle inventory, another on financing, and another on service, without disrupting the flow of the conversation. From the customer’s perspective, the transition is invisible, and the interaction remains smooth and coherent.

When responding to complex queries, DealerAI goes beyond scripted replies. It uses function calling to access dealership systems (e.g., inventory, pricing, or CRM tools) and retrieval-augmented generation (RAG) to pull the most relevant information in real time. This ensures answers are not only accurate but also tailored to the customer’s specific question or intent. 

Altogether, these capabilities enable DealerAI to handle conversations much like a knowledgeable dealership representative. It is able to follow context, manage topic shifts, and provide precise, helpful answers throughout the interaction.