Study on the Freight Marketing Platform of Shuohuang Railway Based on Big Data

This study based on the practical operational needs of the Shuohuang Railway, leverages advanced technologies such as big data, the Internet of Things (IoT), and cloud computing to construct an integrated freight marketing platform aimed at achieving intelligent and precise management of railway freight operations. The platform design encompasses multiple subsystems, including a real-time freight monitoring and performance analysis system, a dynamic pricing and marketing strategy decision support system, a customer data management system, a freight route planning system, and a freight marketing trend prediction system. By integrating these functional modules, the platform enables comprehensive monitoring of key data throughout the freight process and conducts intelligent analysis and optimized decision-making based on market demand and customer behavior. The research results indicate that the platform significantly enhances the operational efficiency, market responsiveness, and service quality of railway freight transport. It provides strong support for precise marketing, optimized resource allocation, and cost reduction, thereby improving overall operational performance and competitiveness of railway freight enterprises.