The supply chain that runs itself is no longer a future concept. It is being built right now - and the organizations building it fastest are pulling ahead of competitors who may never close the gap.
BUS 301: The Self-Running Supply Chain is a rigorous, practitioner-focused guide to the AI, automation, and data infrastructure reshaping how goods move across the global economy. From autonomous procurement systems that monitor supplier risk in real time, to warehouse robots that coordinate with machine precision, to demand-sensing platforms that update forecasts by the hour - this book maps the full landscape of supply chain autonomy and explains exactly what it takes to build it.
Unlike vendor-driven hype or academic theory, this text confronts the real challenges: data quality problems that sink AI projects before they start, governance gaps that create algorithmic accountability crises, and the organizational change management that separates successful transformations from expensive failures.
Across 17 chapters and six parts - covering procurement intelligence, inventory optimization, logistics automation, risk resilience, systems integration, and implementation roadmaps - readers will find the frameworks, case studies, and strategic analysis needed to lead supply chain transformation in the AI era.
