Artificial Intelligence in Trucking Business Operations—A Systematic Review

If your company is involved in the transportation of goods, such as trucks or boats, you may want to gain a competitive advantage over others. Artificial intelligence (AI) can assist you in identifying the most efficient method to transport items, including finding the quickest route, avoiding traffic, and ensuring timely delivery. This technology also eases the jobs of technicians, managers, and dispatchers, resulting in faster response times, improved fix rates, and greater customer satisfaction by considering location, skill sets, and previous interactions. However, increasing the reliability of logistics on autonomous systems has presented new challenges for human–machine interaction concepts. Because of the lack of competent labor in some regions and the need for sustainability and efficiency enhancement, it is important for logistic operators to pursue automation in the process. This enables the optimization of orders and dynamic planning on the basis of integration with telecommunications facilities. Sustainability has become a mandate in the global corporate sector, with two factors impacting its implementation. Autonomous electric trucks are projected to revolutionize logistics over the next couple of years. In the past two decades, we have seen remarkable advancements in AI and machine learning applications. Using AI in warehouses will enhance efficiency, and the truck appointment scheduling problem can be solved by analyzing vast amounts of data to determine the best routes, schedules, and overall planning. Due to the ever-increasing movement of freight, the sustainability of road freight transportation is gaining importance. AI can satisfy customers with 24/7 virtual assistance through chatbots in vernacular languages. This technology can assist logistic operators in identifying more efficient transportation methods, leading to improved performance and increased customer satisfaction.