Description: Logistics data management refers to the comprehensive process of collecting, storing, and analyzing data related to the supply chain and logistics. This approach enables companies to optimize their operations, improve decision-making, and increase efficiency in product distribution. In the context of modern industry practices, logistics data management relies on advanced technologies such as the Internet of Things (IoT), artificial intelligence (AI), and big data analytics. These tools allow for real-time data collection from various sources, such as sensors in transport vehicles, inventory tracking systems, and order management platforms. The ability to analyze this data provides companies with a clearer view of their logistics operations, allowing them to identify bottlenecks, forecast demand, and optimize delivery routes. Furthermore, logistics data management facilitates process integration, enhancing collaboration among different stakeholders in the supply chain. In summary, this practice not only improves operational efficiency but also contributes to sustainability by reducing waste and optimizing resource use.
