What do the stock market and weather forecasting have in common? Here’s a clue: stocks are valued based on trend projections, whereas changes in weather are tracked using prevailing atmospheric ...

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 ...

While demand planning accuracy currently hovers around 60%, DLA officials aim to push that baseline figure to 85% with the help of AI and ML tools. Improved forecasting will ensure the services have ...

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 ...

The requirements for retail success don’t get much more basic than the ability to accurately forecast customer demand. Even a mom-and-pop bodega has to have a pretty good sense of how many people will ...

Editor’s Note: The SCM capstone Drop Trailer Forecasting in Volatile Networks was authored by Alex Carroll and Troy Egar. The project was supervised by Dr. Elenna Dugundji ([email protected]) and Dr.