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 ...

The Interntional Energy Agency is currently predicting that oil demand will peak this decade, even as it continues to rise. While that might happen, when the real world is moving in the opposite ...

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 ...

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 ...

Supply chain leaders are increasingly turning to artificial intelligence to revolutionize their demand-forecasting and inventory-management strategies. This shift comes as traditional forecasting ...

SAN FRANCISCO--(BUSINESS WIRE)--Ikigai Labs, the leader in AI for enterprise tabular and time-series data, today announced the launch of its new Demand Forecasting and Planning solution. Built to ...

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 ...

Recent advances in forecasting demand within emergency departments (EDs) have been bolstered by the integration of machine learning and time series analytical techniques. The objective of these ...

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 ...