May 1, 2024
Updated May 9, 2025
19 minute read
Demand management is a critical business planning process that enables companies to forecast, plan for, and manage the demand for their products and services. It involves a coordinated effort across various business functions, including marketing, sales, and supply chain management, to ensure that customer needs are met while optimizing resources and minimizing waste. In essence, demand management acts as a vital bridge between the marketplace and a company's internal operations. For those intrigued by the intricate dance of supply and demand, and who enjoy strategic thinking and data analysis, a career in demand management can be both engaging and exciting. The field offers the opportunity to directly impact a company's profitability and customer satisfaction by ensuring the right products are available at the right time. Furthermore, it's a dynamic area that is constantly evolving with new technologies and methodologies.
A gentle introduction to demand management might describe it as the art and science of predicting what customers will want and then making sure a company is ready to deliver it. This involves looking at past sales, current market trends, and even upcoming promotions to make the best possible guess about future needs. It’s a field that requires a blend of analytical thinking and collaborative communication, as demand managers often work with many different departments within a company.
Introduction to Demand Management
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Reading list
We've selected 28 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Demand Management.
This textbook provides a comprehensive overview of forecasting principles and practice. It covers a wide range of topics, including time series analysis, regression analysis, and machine learning. It valuable resource for students and professionals in forecasting and demand management.
Foundational text covering the core concepts of supply chain management, including a significant focus on demand forecasting and planning. It is widely used as a textbook in undergraduate and graduate programs and provides a comprehensive overview essential for gaining a broad understanding of Demand Management within the larger supply chain context. The book includes real-world case studies and practical examples.
Presents the Box-Jenkins approach to time series analysis and forecasting. The Box-Jenkins approach widely-used method for forecasting time series data. It valuable resource for students and professionals in forecasting and demand management.
Provides a comprehensive overview of machine learning techniques for demand forecasting. It covers a wide range of topics, including time series analysis, regression analysis, and machine learning. It valuable resource for students and professionals in forecasting and demand management.
Presents a framework for improving demand management through people, processes, analytics, and technology. It is highly relevant for understanding contemporary approaches and leveraging technology in demand management.
Focuses specifically on demand forecasting, a critical component of demand management. It provides a structured approach to forecasting, covering various methods and their applications. It is particularly useful for those looking to deepen their technical understanding of forecasting techniques and improve forecast accuracy.
Focuses on integrating demand forecasting with supply planning to achieve world-class results. It provides insights into designing effective forecasting processes and selecting appropriate techniques.
A highly-regarded book that emphasizes the relationship between logistics and supply chain performance. It includes key topics such as demand management, network design, and integration. is valuable for both students and professionals seeking a comprehensive understanding of how demand management fits into the broader logistics and supply chain strategy and is often recommended as a core text.
Outlines an effective demand management model and its integration with broader business processes. It offers practical solutions for improving business performance through better demand management and collaboration. It valuable reference for practitioners seeking best practices.
Provides a comprehensive overview of demand management in German. It covers all aspects of demand management, from forecasting to inventory management to customer service. It valuable resource for students and professionals in supply chain management and operations management in German-speaking countries.
This practical handbook provides a step-by-step guide to implementing and improving the Sales and Operations Planning (S&OP) process, which is closely linked to demand management. It is highly relevant for professionals involved in integrating sales forecasts with operational plans.
A comprehensive textbook covering various aspects of supply chain management, including demand forecasting and inventory management. It provides a strong theoretical foundation and practical insights through case studies, suitable for both students and professionals.
Provides a comprehensive overview of demand forecasting and time series analysis. It covers a wide range of topics, including time series analysis, regression analysis, and machine learning. It valuable resource for students and professionals in forecasting and demand management.
Focuses on developing trustworthy demand management processes and their importance for business leaders. It emphasizes cross-functional collaboration and the role of demand management in achieving business objectives.
Introduces Adaptive S&OP as a way to bridge strategy and operations in a volatile world. It is highly relevant for understanding how demand management fits into strategic planning and adapting to changing market conditions.
A fundamental text specifically focused on demand planning and forecasting. It covers the essential concepts and techniques required for effective demand planning. is suitable for those new to the field and provides a solid foundation.
Delves into using data science and machine learning techniques for supply chain forecasting. It is highly relevant for contemporary approaches to demand management that leverage advanced analytics. It requires some understanding of data science concepts.
This textbook provides a comprehensive overview of quantitative techniques for management. It covers a wide range of topics, including forecasting, inventory management, and quality control. It valuable resource for students and professionals in management and operations management.
This widely used textbook that covers manufacturing planning and control systems, which are intrinsically linked to demand management. It provides a detailed understanding of how demand forecasts are translated into production plans. Often used in academic settings.
Provides a detailed overview of the DDMRP approach to inventory management. DDMRP pull-based system that is designed to improve inventory accuracy and reduce lead times. It valuable resource for professionals in supply chain management and operations management.
Offers a clear and concise overview of core supply chain management concepts. It includes discussions on demand management as a fundamental element of supply chain operations. It's a good starting point for gaining a broad understanding.
The latest edition of a classic text on MRP, which planning system heavily reliant on accurate demand information. covers the evolution of MRP, including Demand Driven MRP (DDMRP), and is essential for understanding the operational implications of demand.
Provides a high-level, accessible introduction to supply chain management, including the role of demand management. It is an excellent resource for beginners or those seeking a broad overview without getting into excessive technical detail.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/n22760/demand
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