In forecasting economic time series, statistical models often need to be complemented with a process to impose various constraints in a smooth manner. Systematically imposing constraints and retaining ...

Imagine you’re a retail leader at a fast-growing wellness brand in the year 2030, looking ahead to next week’s demand and knowing that one wrong forecast could cost millions. You open your integrated ...

From new tariffs and trade uncertainty to geopolitical tension and extreme weather events, external forces have upended traditional demand forecasting approaches. Among those most impacted are the CPG ...

Many industries face growing demand complexity amid macroeconomic uncertainty, and the automotive aftermarket is no different. In our industry, diversity in vehicle make, model and engine ...

After more than 15 years architecting forecasting algorithms, leading S&OP transformations, and navigating the operational realities of supply chain networks, one guiding principle has remained ...

Unfortunately, this book can't be printed from the OpenBook. If you need to print pages from this book, we recommend downloading it as a PDF. Visit NAP.edu/10766 to get more information about this ...

Analyst Insight: As parcel networks normalize post-pandemic but cost structures evolve, forecasting and demand planning have become continuous, data-driven disciplines. Shippers that integrate ...