Data-Driven Technologies and Artificial Intelligence in Supply Chain 1st Edition

Data-Driven Technologies and Artificial Intelligence in Supply Chain, 1st Edition by delivers a timely, practical guide for professionals navigating the digital transformation of logistics and operations. Combining cutting-edge research with real-world applications, this volume illuminates how machine learning, IoT, blockchain, and advanced analytics reshape demand forecasting, inventory optimization, and risk management across global and regional supply chains.

Discover clear explanations of core AI techniques and data-driven tools, alongside case studies that span manufacturing hubs, e-commerce distribution, and cross-border logistics. Written for supply chain managers, data scientists, and business leaders, the book balances technical depth with actionable insight—showing how predictive models improve service levels, how real-time telemetry enhances visibility, and how automation drives resilience in volatile markets.

What you’ll gain:
– A practical roadmap for implementing AI and analytics across procurement, warehousing, and transportation.
– Strategies to reduce costs, shorten lead times, and mitigate disruption.
– Frameworks for ethical data use, scalable deployment, and performance measurement tailored to local and international contexts.

Whether you operate in North America, Europe, Asia-Pacific, or emerging markets, this edition equips you to harness data-driven innovation for competitive advantage. Clear, authoritative, and forward-looking, it’s an essential resource for anyone committed to smarter, more responsive supply chains.

Elevate your operations—invest in the knowledge that turns complex data into measurable results. Order your copy today.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.