Learn how price elasticity of demand impacts consumer behavior and forecasting. Discover strategies for understanding demand ...

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 ...

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 ...

Supply chain forecasting is becoming an increasingly critical component of operational success. Accurate forecasting enables companies to optimize inventory levels, reduce waste, enhance customer ...

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% ...

AI market forecasting uses predictive analytics and strategic planning tools to anticipate demand shifts, optimize decisions, ...

Discover how human resource planning might be used to estimate the correct demand for labor in a given market, both qualitatively and quantitatively.

Retailers like Target and Walmart use AI to prevent stockouts and manage inventory. AI systems can predict demand to help improve inventory accuracy and availability. This article is part of "How AI ...

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 ...