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

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 ...

Sales and demand forecasting has evolved markedly with the convergence of traditional statistical techniques and cutting‐edge machine learning methods. Time series analysis remains central to ...

If you’re looking for insights into the evolving world of demand forecasting, especially in the context of emerging technologies like AI and machine learning, look no further. This report discusses ...

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.

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 ...

With legacy load forecasting models struggling with unpredictable events that are becoming ever more common, power-hungry AI offers a solution.

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, ...

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 ...