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.

Supply chain forecasting is becoming an increasingly critical component of operational success. Accurate forecasting enables companies to optimize inventory levels, reduce waste, enhance customer ...

Tourism demand forecasting has evolved into a multifaceted discipline essential for informing policy, investment, and operational planning in the tourism sector. Traditionally reliant on historical ...

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 ...

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 ...

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 ...

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 ...

The logistics industry faces a myriad of challenges, from supply chain disruptions to fluctuating consumer demand. And while traditional forecasting methods have been acceptable for years, they often ...

Angel hair chocolate is the latest viral sensation. Ever wondered how a TikTok trend, Dubai Chocolate, could shake up the global pistachio market? That’s precisely what this viral craze has done, ...

In today’s rapidly evolving business landscape, the ability to accurately forecast sales is more critical than ever. Yet, traditional sales forecasting methods are increasingly proving inadequate, as ...

Legacy load forecasting models are struggling with ever-more-common, unpredictable events; power-hungry AI offers a solution.