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

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.

Discover how Walmart uses AI-powered forecasting and smart rerouting to keep winter storm supplies stocked and logistics ...

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 ...

HARRISBURG, Pa. — The forecasts are eye-popping: utilities saying they’ll need two or three times more electricity within a few years to power massive new data centers that are feeding a fast-growing ...

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 ...

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 requirements for retail success don’t get much more basic than the ability to accurately forecast customer demand. Even a mom-and-pop bodega has to have a pretty good sense of how many people will ...

ATLANTA--(BUSINESS WIRE)--Manhattan Associates Inc. (NASDAQ: MANH) announced today that Lamps Plus, the nation’s leading specialty lighting retailer, has implemented Manhattan’s Demand Forecasting and ...

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 ...

Accurate forecasts matter as AI-powered data centers drive rapid demand growth. Underestimating demand can strain reliability ...