How can sales figures be forecast more reliably, production capacities planned fully digitally, and employee know-how ...

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

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 ...

To plan for the impacts of data centers on the grid, experts can take upfront deposits and analyze a scope of possible ...

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 ...

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 ...

Sales forecasting—estimating the future sales of products or services based on historical data, market trends and other relevant factors—is important for any organization. According to Aberdeen, 97% ...

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 ...