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

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

HOUSTON, Sept. 23, 2025 /PRNewswire/ -- Amperon, a leading provider of AI-powered energy forecasting and analytics solutions, today announced the launch of the industry's first weather-informed grid ...

The Fast Company Executive Board is a private, fee-based network of influential leaders, experts, executives, and entrepreneurs who share their insights with our audience. BY James Barlow Just as the ...

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 ...

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 ...

Precision has become one of the most valuable strategic assets a company can possess. Whether forecasting demand for the next major book release or balancing production across global supply chains, ...

In today’s rapidly evolving business landscape, the ability to accurately forecast sales is more critical than ever. Yet, traditional sales forecasting methods are increasingly proving inadequate, as ...

Last spring, Texas lawmakers were stunned by a forecast showing statewide demand for electricity nearly doubling in just six years. The state grid operator’s 2025 version of that report is likely to ...

MANILA, Philippines & DALLAS--(BUSINESS WIRE)--A vast product portfolio with regional specialization and constant disruptions can complicate lifecycle management, collaboration and supply chain ...

Marking a significant milestone in its digital transformation journey, the Ministry of Labour has integrated advanced Artific ...

My graduate studies included learning about constraint-based optimization algorithms (such as linear programming) and ...