data-driven logistics

Data-driven logistics refers to the use of data analysis and technology to optimize the supply chain and transportation processes. By collecting and analyzing information such as inventory levels, delivery times, and customer preferences, companies can make informed decisions to improve efficiency, reduce costs, and enhance service quality. This approach allows businesses to predict demand, streamline operations, and respond quickly to changes in the market, ultimately leading to more effective management of resources and better customer satisfaction.