The Application of Big Data in Supply Chain Risk Management

For fast-changing problems, 3ften usually can't handle them. This study explores in detail how large amounts of data can be used to help mitigate risk in the supply chain, with a particular focus on forecasting customer demand, managing suppliers, improving transportation, and responding to major economic changes. By collecting different types of information and using intelligent computer programs, it is easier to spot risks and make better decisions faster. As an example, the study tested a special computer program called LSTM for predicting customers' needs and showed that it performed better than older methods. But there are still problems to be solved, such as ensuring that the data provided is accurate, enabling the technologies to work together, and protecting information security. Going forward, researchers should consider how to combine intelligent computer systems with Internet-connected devices to manage risks as they occur.