Master the demand forecasting skills you need to decide what resources to acquire, what products to produce, and where and how to distribute them. In Demand Forecasting Best Practices you'll learn how to: ul li Lead a demand planning team to improve forecasting quality while reducing workload li li Properly define the objectives, granularity, and horizon of your demand planning process li li Use smart, value-weighted KPIs to track accuracy and bias li li Spot areas of your process where there is room for improvement li li Help planners and stakeholders (sales, marketing, finances) add value in your process li li Identify what kind of data ..

Using data science in order to solve a problem requires a scientific mindset more than coding skills. Data Science for Supply Chain Forecasting, Second Edition contends that a true scientific method which includes experimentation, observation, and constant questioning must be applied to supply chains to achieve excellence in demand forecasting. This second edition adds more than 45 percent extra content with four new chapters including an introduction to neural networks and the forecast value added framework. Partfocuses on statistical "traditional" models, Part II, on machine learning, and the all-new Part III discusses demand forecasting process managemen ..

In this book . . . Nicolas Vandeput hacks his way through the maze of quantitative supply chain optimizations. This book illustrates how the quantitative optimization of 21st century supply chains should be crafted and executed. . . . Vandeput is at the forefront of a new and better way of doing supply chains, and thanks to a richly illustrated book, where every single situation gets its own illustrating code snippet, so could you. --Joannes Vermorel, CEO, Lokad Inventory Optimization argues that mathematical inventory models can only take us so far with supply chain management. In order to optimize inventory policies, we have to use probabilistic simulat ..