Big Data Empowering Supply Chain Management: From Theory to Practice
Keywords:
big data, supply chain management, demand forecasting, inventory optimization, logistics distribution, digital transformation, data analysis, collaborative decision-making, cost savings, corporate competitiveness, intelligent supply chain, practical applicationAbstract
With the rapid development of the digital economy, big data technology has brought unprecedented opportunities for supply chain management. This paper takes Shenzhen Shemanquban Supply Chain Co., Ltd. as a case study to explore the application and effects of big data technology in supply chain management. Through the construction of a big data platform, the paper has optimized key links such as demand forecasting, inventory management, and logistics distribution. The results show that big data-driven optimization strategies have significantly improved the efficiency and competitiveness of the supply chain, with inventory turnover rate increased by 28%, logistics costs reduced by 18%, and overall operating costs decreased by 15%. This paper not only provides a new perspective for supply chain management theory but also offers valuable references and insights for the digital transformation and practical application of enterprises.
