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

A peer-reviewed industry survey highlighting gaps in traditional demand forecasting and the role of AI in new product ...

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 ...

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 ...

BDO USA reports that generative AI helps retailers forecast demand by analyzing real-time data trends, improving inventory ...

Unfortunately, this book can't be printed from the OpenBook. If you need to print pages from this book, we recommend downloading it as a PDF. Visit NAP.edu/10766 to get more information about this ...

Many industries face growing demand complexity amid macroeconomic uncertainty, and the automotive aftermarket is no different. In our industry, diversity in vehicle make, model and engine ...

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 ...

Bed capacity management is of critical importance to health systems, impacting patient care and safety, operational efficiency, system sustainability and financial performance. Efforts to improve and ...