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

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 ...

Michael Amori is CEO and cofounder of Virtualitics. A data scientist and entrepreneur with a background in finance and physics. Accurate demand forecasting is the linchpin of effective inventory, cost ...

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 at Institute of Science Tokyo have developed a novel Group Encoding method that accurately forecasts electricity demand using only On/Off device data from building energy systems. Tested ...

In the intricate world of supply chain management, understanding the nuanced differences between demand forecasting and demand planning is crucial – the optimization operations, any reduction in costs ...

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 ...

NANJING, China & DALLAS--(BUSINESS WIRE)--From global tariff concerns to highly volatile demand, manufacturers are facing unprecedented challenges and uncertainty. That’s why Chervon, a global leader ...

The Energy Systems Integration Group (ESIG) has released a report examining how utilities and planners forecast long-term electricity demand and distributed energy resources (DERs) in an era of rapid ...