The United States has 16,835 franchised new car dealerships selling roughly 13 million new vehicles annually. The country’s 23,000 used car dealers sell approximately 39 million used automobiles, about two and one-half times the number of new cars sold.
Whatever type of vehicles they sell, automotive dealers face stiff competition. They are tasked with driving revenue while reducing costs and managing inventory. Some dealerships, though, continue to face staffing shortages, making it difficult to operate efficiently.
To combat these challenges, some automotive dealers employ voice-enabled conversational artificial intelligence (AI) platforms because they can automate routine tasks, streamline workflows and cut costs — all while improving customer service. How is this possible? Such scalable solutions allow dealerships to engage customers where they are and boost sales.
What Exactly is Conversational AI?
Conversational AI consists of computer systems that communicate with users through natural language user interfaces involving images, text and voice. It automates more natural, human-like interactions between computers and users. In addition to being equipped to provide a more flexible conversational flow, conversational AI technology learns from information gathered and is built to understand patterns of human behavior.
Not all chatbots utilize AI. Unlike conversational AI solutions, rules-based chatbots map out conversations based on user input and only answer queries that fit into pre-set questions and/or comments. They follow a decision-tree matrix to guide users toward a specific action or answer and often provide robotic-like responses, which can result in a frustrating interaction and a negative patient experience.