Integrated forecasting and supply chain planning platforms can close the gap between forecasting and execution by connecting ...

Researchers have developed a new forecasting model that helps companies more accurately estimate how many customers are interested in a product -- even when key data is missing. The study introduces a ...

Researchers at Washington State University have developed a new forecasting model that helps companies more accurately estimate how many customers are interested in a product—even when key data is ...

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 ...

Michael Amori is CEO and cofounder of Virtualitics. A data scientist and entrepreneur with a background in finance and physics. Accurate demand forecasting is the linchpin of effective inventory, cost ...

Editor’s note: This article first appeared on the University of Tennessee, Knoxville’s Global Supply Chain Institute’s blog. It is being reprinted with permission. You can read the original post here.

Editor’s note: The following article is a joint project of professors in the University of Tennessee Knoxville’s Global Supply Chain Institute. For more on the Institute, click here. Demand planners ...

To enhance the dynamic perception and accuracy of tourism demand forecasting in smart tourism scenarios, this paper proposes a forecasting framework integrating a spatial econometric model and deep ...

PULLMAN, Wash. –Researchers at Washington State University have developed a new forecasting model that helps companies more accurately estimate how many customers are interested in a product—even when ...