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Smart technology is reshaping the way consumers interact with products, and the automotive industry is no exception. By 2020, the global number of connected vehicles reached 152 million, marking a significant shift in how car manufacturers and dealers engage with customers. Vehicle networking systems provide valuable insights into consumer behavior, allowing dealers to identify preferences and needs more accurately. This data-driven approach enables personalized marketing strategies that not only boost sales of vehicles but also enhance the demand for parts and accessories. The goal is to build a customer-focused experience that keeps buyers engaged long after the purchase.
According to the white paper titled *"How Artificial Intelligence Can Change the Car Profit Model"*, which spans 12 pages, data experts at Bright Box highlight innovative ways car dealers can leverage new data streams to drive revenue growth. Robert Schuessler, Vice President of Connected Vehicles at Bright Box, explains that the report explores emerging trends such as artificial intelligence, machine learning, and big data analytics, and how these technologies are transforming the automotive industry’s profitability.
Bright Box emphasizes that the most effective way to handle IoT data is by using AI and machine learning algorithms to uncover consumer behavior patterns. This allows dealers to better understand and meet real-time customer needs. For instance, AI can analyze a driver's habits and predict future needs—such as when a family expands and a larger vehicle becomes necessary. With this insight, dealers can offer tailored services and recommendations, improving customer satisfaction and loyalty.
When vehicles are equipped with connected technology, they become more than just products; they serve as a continuous link between the dealer and the customer. These systems can deliver targeted marketing based on driving behaviors, such as speed or travel duration. Additionally, AI, big data, and machine learning play a crucial role in streamlining the R&D process, making product development more responsive to market demands and enhancing the overall customer journey.
September 26, 2025