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Understanding Supply Chain Analytics is a practitioner's guide to both the fundamentals of supply chain management and the analytical tools that make those fundamentals intelligent. The book covers the full operational landscape - demand planning, sourcing, production, inventory, warehousing, order fulfillment, master data, and customer management - and then layers on the analytics methods that turn operational data into decisions: time series forecasting, Monte Carlo simulation, optimization models, and advanced statistical techniques.
What makes this book timely is its treatment of generative AI - not as a replacement for quantitative methods, but as a complementary layer that can explain forecasts in plain language, surface insights from unstructured data like emails and contracts, and make advanced analytics accessible to non-specialists.
Written by two practitioners with excellent supply chain experience, the book is designed for professionals who want enough analytical intuition to ask better questions, challenge black-box outputs, and build supply chains that are not just efficient on paper, but genuinely resilient in practice.
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Understanding Supply Chain Analytics: Applying AI to Supply Chain
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Hardcover. Zustand: new. Hardcover. Understanding Supply Chain Analytics is a practitioner's guide to both the fundamentals of supply chain management and the analytical tools that make those fundamentals intelligent. The book covers the full operational landscape - demand planning, sourcing, production, inventory, warehousing, order fulfillment, master data, and customer management - and then layers on the analytics methods that turn operational data into decisions: time series forecasting, Monte Carlo simulation, optimization models, and advanced statistical techniques.What makes this book timely is its treatment of generative AI - not as a replacement for quantitative methods, but as a complementary layer that can explain forecasts in plain language, surface insights from unstructured data like emails and contracts, and make advanced analytics accessible to non-specialists.Written by two practitioners with excellent supply chain experience, the book is designed for professionals who want enough analytical intuition to ask better questions, challenge black-box outputs, and build supply chains that are not just efficient on paper, but genuinely resilient in practice. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9798904318802
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Understanding Supply Chain Analytics
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Hardcover. Zustand: new. Hardcover. Understanding Supply Chain Analytics is a practitioner's guide to both the fundamentals of supply chain management and the analytical tools that make those fundamentals intelligent. The book covers the full operational landscape - demand planning, sourcing, production, inventory, warehousing, order fulfillment, master data, and customer management - and then layers on the analytics methods that turn operational data into decisions: time series forecasting, Monte Carlo simulation, optimization models, and advanced statistical techniques.What makes this book timely is its treatment of generative AI - not as a replacement for quantitative methods, but as a complementary layer that can explain forecasts in plain language, surface insights from unstructured data like emails and contracts, and make advanced analytics accessible to non-specialists.Written by two practitioners with excellent supply chain experience, the book is designed for professionals who want enough analytical intuition to ask better questions, challenge black-box outputs, and build supply chains that are not just efficient on paper, but genuinely resilient in practice. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9798904318802
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Understanding Supply Chain Analytics (Hardcover)
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Hardcover. Zustand: new. Hardcover. Understanding Supply Chain Analytics is a practitioner's guide to both the fundamentals of supply chain management and the analytical tools that make those fundamentals intelligent. The book covers the full operational landscape - demand planning, sourcing, production, inventory, warehousing, order fulfillment, master data, and customer management - and then layers on the analytics methods that turn operational data into decisions: time series forecasting, Monte Carlo simulation, optimization models, and advanced statistical techniques.What makes this book timely is its treatment of generative AI - not as a replacement for quantitative methods, but as a complementary layer that can explain forecasts in plain language, surface insights from unstructured data like emails and contracts, and make advanced analytics accessible to non-specialists.Written by two practitioners with excellent supply chain experience, the book is designed for professionals who want enough analytical intuition to ask better questions, challenge black-box outputs, and build supply chains that are not just efficient on paper, but genuinely resilient in practice. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Bestandsnummer des Verkäufers 9798904318802
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Understanding Supply Chain Analytics : Applying AI to Supply Chain
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