The automotive dealer chatbot is built on top of the IBM Watson AI platform. Natural language processing and machine learning techniques are used to interpret queries, ask questions, and construct responses.
Chatbot plugin: The plugin provides the interface to handle all text queries and responses. It is installed on the platform where the bot is to function.
Admin panel: Dashboard displays chat history, conversation trends, and contacts extracted from chat sessions.
Bot engine: This is the brain of the car dealer chatbot that uses machine learning to interpret shopper queries and converts them to corresponding intents. The dialog management part of the chatbot engine defines the workflow for car dealerships.
Backend API: The API server interacts with the frontend plugin, accepts incoming requests, processes them, and prepares appropriate responses. The chat solution resides on the cloud and can be integrated with websites, messaging platforms, third-party tools, and databases.
By applying AutoMate’s AI and machine learning capabilities during the customer journey, our client accomplished measurable business benefits.
- 35% increase in sales inquiries
- Reduced operational expenditure by 15%
- Improved customer engagement and CSAT scores
- Broadened reach; increased depth of engagement
- Instantaneous responses without human intervention
- Customer service on par with human operators