Big Data Analytics for Supply Chain Mass Customization: Prospects, Challenges, and Opportunities

Abstract

In today's world, the topic of economic globalization is still on the rise, and trade between countries is becoming more and more frequent. At the same time of economic prosperity, customers' demand for products is clearer and more perfect, which brings more intense competition between countries and enterprises. As one of the four most important strategic resources in the 21st century, the supply chain also shows increasingly important positions in the wave of international competition. More accurate customization of customer demand has become particularly important to save resources, create better revenue, and accurately meet customer demand. Mass customization is built through big data analysis; supply chain management is mass customization's basis and starting point. Nowadays, flexible and changeable customer demand greatly improves the risk and pressure of enterprises, standing on the tip of the wind of digitalization, intelligence, and the use of information technology to improve the enterprise organizational structure and operational processes to become a problem for enterprises to change their problems, the use of big data for customization in the supply company to analyze the point of focus.