Intelligent logistics automation refers to the use of advanced technologies such as artificial intelligence (AI), machine learning (ML), Internet of Things (IoT), and robotics to optimize and automate processes related to logistics and supply chain. The main purpose of these technologies is to increase efficiency, reduce costs, improve accuracy and speed up logistics activities such as warehouse management, transportation, and delivery of goods. **Advantages of intelligent logistics automation:** 1. **Increased productivity**: Robots and automated systems can perform repetitive tasks such as moving goods, packaging and distribution more quickly and accurately. 2. **Reduction of errors**: Automatic and intelligent systems reduce human errors in recording and processing information. 3. **Route Optimization**: AI can choose the best routes for transportation, which results in reduced delivery times and fuel costs. 4. **Forecasting and accurate planning**: Through data analysis, intelligent systems can predict future trends and make more accurate planning for the supply of goods. 5. **High flexibility**: Automation systems can quickly adapt to changes in needs and conditions, for example during peak demand. **Applications of intelligent automation in logistics:** - **Warehouse management**: using automatic robots to arrange and move goods in warehouses. - **Intelligent transportation**: Using intelligent systems to monitor and manage the transportation fleet. - **Automatic delivery systems**: using drones and self-driving vehicles to deliver goods to customers. - **Real-time tracking**: the possibility of tracking and monitoring shipments along the supply chain. This approach helps companies to adapt to rapid market changes and customer needs and increase their competitiveness.
