Intelligent Supply Chain

Supply Chain Intelligence explains how supply chains are moving from linear, reactive and fragmented models to connected, resilient and data-driven networks. Its central thesis is that competitive advantage comes not from accumulating technology, but from integrating data, processes, analytical models, talent, governance and accountability into a real decision-making system. The book differentiates digitalization from transformation: to digitalize is to use tools; to transform is to change how the company observes, plans, decides and learns. It addresses five axes: fundamentals of the intelligent supply chain, data architecture, advanced analytics and AI, enabling technologies and governance. He stresses that reliable data and data governance are the foundation of operational intelligence: without quality, traceability and integration, dashboards, forecasting, AI and automation lose value. He explains how machine learning, mathematical optimization, simulation and digital twins improve demand, inventory, transportation, supplier and risk decisions. He also discusses IoT, blockchain, generative AI, RPA and robotics.