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

Weather is an area ripe for innovation from AI. According to Bloomberg, AI models that identify patterns in giant sets of ...

WRAL meteorologists Elizabeth Gardner and Grant Skinner break down the ingredients of predictive weather models, explaining ...

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 ...

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 ...

Forecasting dynamic weather patterns like the winter storm bearing down on Texas and other parts of the U.S. this week is not ...

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.

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