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

The partners in Lantern, a machine learning software firm focused on product distribution, pitched the technology to HVACR ...

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 ...

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 ...

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 ...

Billions of dollars’ worth of cancer drugs are discarded each year. Manufacturers must refund Medicare for some of this waste ...

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 ...

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 ...

PULLMAN, Wash. –Researchers at Washington State University have developed a new forecasting model that helps companies more accurately estimate how many customers are interested in a product—even when ...

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 ...