AI models can process thousands of factors simultaneously, including demand signals across multiple items, macroeconomic ...

The North American energy sector is experiencing a significant shift driven by the rapid growth of distributed energy ...

A peer-reviewed industry survey highlighting gaps in traditional demand forecasting and the role of AI in new product ...

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 ...

From new tariffs and trade uncertainty to geopolitical tension and extreme weather events, external forces have upended traditional demand forecasting approaches. Among those most impacted are the CPG ...

Doohee Chung, CEO of IMPACTIVE AI, pitching at the ‘Global Media Meetup’ Doohee Chung, CEO of IMPACTIVE AI, answering questions from Helena Stone, Editor-in-Chief of Geekspin Helena Stone, ...

The study shows that AI plays an equally critical role in smart grid operations, where the challenge shifts from managing single households to coordinating thousands or millions of distributed energy ...

Water demand forecasting is an indispensable element in the sustainable management of water resources, as growing populations and climatic uncertainties intensify the pressure on water supplies.

To get (and keep) accurate demand forecasting back on track, companies need to completely rethink the status quo. The Fast Company Executive Board is a private, fee-based network of influential ...

While demand planning accuracy currently hovers around 60%, DLA officials aim to push that baseline figure to 85% with the help of AI and ML tools. Improved forecasting will ensure the services have ...