Artificial intelligence (AI) and the Internet of Things (IoT) are both cutting-edge technologies that are starting to gain traction in the world around us. According to Fortune Business Insight, the global artificial intelligence market reached US$27 billion in 2019 and is estimated to grow tenfold by 2027. IoT is also a dynamic field. According to PrNewsWire, the number of IoT devices will exceed 24 billion by 2030. Both advances count as "smart" technology. As more IoT devices enter the market, and the cost of implementing AI falls, the ways they impact the world today will increase. But how could technology like this change traffic management? \u041c\u043e\u0434\u0443\u043b\u044c NBSolving problems in transportation managementOn a global scale, transportation management and logistics can be complex fields. Today's world is constantly connected, which makes it possible to spot mistakes and correct them faster than ever before. However, despite our rapid access to data via the Internet, there are still problems with the efficiency of data collection before transmission. Visibility, reporting, analysis and communication are all part of this global traffic management data network. However, if one of the arms fails, the entire system can become inefficient. Some feedback systems can work to correct these problems, but they create complex solutions to a simple problems.Cost management is another major issue facing global shipping. Shipping prices, even regional ones, fluctuate based on local factors such as fuel costs and route availability. As supply lines get longer, they also become harder to maintain. The terms of purchase can also vary depending on the source of the item. Aggregating cost prices and proposing the most efficient purchasing options are key elements of shipping management. But even then, coming up with a viable buying option that will reduce the cost of buying goods and shipping them across borders can take a lot of time and effort. Since the market is dynamic, this analysis must be done on an ongoing basis.Delivery performance is another aspect of transportation management that requires attention. When a company buys a product, it wants to get it to its storage facility in the shortest possible time. Efficient shipping routes will make this easy. However, not all shipping routes provide the same shipping information. In addition, balancing logistics costs, such as paying workers and fuel costs, can affect the profitability of a business, making some commodities less viable than others in the long run.Solutions offered by AI and IoTSo, how can global transportation management use artificial intelligence and the Internet of Things to get goods to their destinations with minimal cost and effort? Thanks to these interconnected technologies, we have several upcoming innovations that may address them all at the same time. a few questions.1. Self-Driving (Autonomous) VehiclesBy now everyone should know about the battle to develop the first self-driving car. Everyone from Uber to Google to Tesla is racing to be the first to create a safe self-driving car. Unfortunately, the technology is far from mature. Today's self-driving cars display many flaws that make them a useful self-driving feature, but a far cry from the expected cars that could theoretically drive themselves. Artificial intelligence is working to help improve the capabilities of these vehicles. Using vision sensors in the cameras, the AI can "read" street signs and pick up visual cues to adjust the vehicle's speed and trajectory. IoT devices ensure that cars can communicate with nearby cars and update their location to a central database. For logistics planners, this eliminates reporting issues, as the load itself is reported. It can immediately notify the company if it encounters difficulties in a traffic stop or accident.2. Better decision makingAI learns in a very different way than humans. In most cases, researchers give the AI a starting location and an ending location and let it go from one to the other. AI makes decisions and draws conclusions. However, sometimes these decisions lead to dire results. When training an AI, researchers can feed it tens of thousands of test data points to refine its decision-making skills. When applied to transportation management, AI can leverage data points from IoT devices within a cargo route. As a result, it can spot patterns in large amounts of data more efficiently than humans. An iterative process means that efficient traffic routes and patterns emerge more frequently, allowing the business plan to catch problems early.3. Analytical purposesHumans have been trying to predict the future since ancient times. In the past, they would use analytics to determine what their children might achieve when they grow up. Today, we take a more statistically-based approach to our analysis, but there is still a lot going on in the dark. Fortunately, AI and IoT provide a way to develop analytical engines that consider billions of data points. Streaming data from IoT devices enters an AI engine, adding it to a growing pool of information. Through the process of discovering patterns, AI can reliably predict changes in product costs, allowing businesses to adapt. By understanding an impending crisis, a transportation management business can divert its resources to deal with it before it occurs.4. Warehouse and inventory managementAnyone responsible for managing a warehouse knows how complicated this part of shipping management can get. But what if the products on the shelves knew how many of them there were? Would it be easier to plan the logistics in this case? How would you know when the demand for a product would increase based on what was in stock at the distribution location? Sophisticated algorithms could be used to predict these things, and allow the inventory department to cater to them. IoT provides direct reporting from the product itself. A central AI can then aggregate these reports and display a map of areas with "hotspots" where demand is likely to spike, based on previous sales numbers. All of this can be done in real-time, reducing order delays and ensuring that each distribution center has enough warehoused products. \u043f\u043e\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u0442\u0435\u043b\u044c\u043d\u044b\u0439 \u043c\u043e\u0434\u0443\u043b\u044cWhat are the practical business benefits?The combination of AI and IoT could mean significant savings in operating costs for companies, resulting in a healthier bottom line. Businesses can also benefit from increased efficiency. IoT devices and artificial intelligence don't need a break, so the company's data centers will be running every hour of the day to keep things running smoothly. Whether it's taking inventory for a shoe store or an online car auction, these benefits extend to all areas of shipping management. Logistics will likely get a lot easier over the next decade.