The landscape of demand forecasting, data science and machine learning is rapidly evolving, as companies seek innovative approaches to handle the intricate intersection between technology and consumer ...

In this special guest feature, Aaron Hoffer, Lead Data Scientist for Alloy, discusses common problems he has seen in forecasting processes, and the importance of focusing on “true demand.” In his ...

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 ...

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 ...

Precision has become one of the most valuable strategic assets a company can possess. Whether forecasting demand for the next major book release or balancing production across global supply chains, ...

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