Hello. I am Cao, a data scientist at Apollo Inc.In this post, I will write about the issues that arose when we expanded an ...

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 ...

For years, supply chain organizations approached demand forecasting by looking backward, with historical sales trends, seasonal cycles and prior purchasing behavior forming the foundation for most ...

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.

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% ...

Bed capacity management is of critical importance to health systems, impacting patient care and safety, operational efficiency, system sustainability and financial performance. Efforts to improve and ...