Integrating Big Data, AI, and Deep Learning for Intelligent Supply Chain Decisions

Abstract

Big data, artificial intelligence (AI), and deep learning are converting supply chain management into an intelligent data-driven system. This review discusses the role of these technologies in increasing visibility, predictive and prescriptive decision-making and efficiency in operations feasible at the strategic, tactical and operational levels. Big data offers all the available information in different forms, whereas AI and deep learning generate insights in a complex dataset to make demand forecasting, inventory management, logistics, and risk mitigation optimally. The recent trends, such as IoT, automation, and explainable AI, also contribute to real-time, adaptive, and sustainable supply chains. The paper presents prospects, threats and future of smart supply chain analytics.