Put down the pen and paper and shelve the spreadsheets. Artificial intelligence (AI) and advanced machine learning are the next-generation tools for demand forecasting in distribution. That was the ...

Introduction A few years ago, I was in charge of demand forecasting models at my company. Even though the accuracy was decent ...

Introduction A few years ago, I took over a demand forecasting model from a colleague who had left the company. The notebook ...

In a small valley in Asturias, northern Spain, a cluster of rural houses and a technology center have become the testing ...

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 ...

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 ...

Weather touches nearly every part of modern life, from the crops we grow to the electricity we use and the routes our packages travel. It is also one of the ric ...

For years, supply chain organizations approached demand forecasting by looking backward, with historical sales trends, seasonal cycles and prior purchasing behavior forming the foundation for most ...

Emergency departments around the world share a stubborn problem: patients arrive in waves that never quite match the number of doctors on duty. When demand outstrips staffing, waiting rooms swell, ...