Enhancing Dealer Communication in Automotive through Digital Real-time Solutions
The contact the dealer faces has been transformed digitally in the automotive industry. Traditional communication methods, such as manual processes, phone calls, and emails, are becoming less and less satisfactory in meeting today’s demands of speed and accuracy for their customers. Artificial intelligence (AI) and cloud-based technologies enforce real-time digital communication solutions, which are helping to bridge the communication gap between automotive manufacturers and the customers / deal room. These advancements enable real-time information such as inventory, pricing, promotions, operations, and smoother customer experience. With the help of AI-driven tools like chatbots and virtual assistants, customers are replied to instantly, engaged, and personalized the way they want it. The cloud platforms help the automotive value chain work seamlessly together without missing the need to share data on product launches, recalls, and regulatory changes between dealers and manufacturers. These combined technologies of AI and cloud solutions permit agents to supply customized and reactive services and optimize the internal system of dealerships. Autonomous vehicles complemented by the Internet of Things (IoT) will change how dealers communicate with customers by allowing engaging with them proactively based on real-time vehicle data. Through the convergence of these technologies, they see preparing the scene for a new era of automotive communication based on the drivers of efficiency, personalization, and customer satisfaction. In the age of digital shift, dealers also had to change, and maintaining data security, privacy, and regulatory compliance will also be crucial for them.
Authors
- Sridhar Rangu
Institutions
- Salesforce (United States) (US)
Publication Details
- Journal
- International journal of IoT
- Published
- 2025-04-28
- DOI
- https://doi.org/10.55640/ijiot-05-01-02
- Primary Topic
- Digital Innovation in Industries
- Type
- article
- Field-Weighted Citation Impact
- 0.00