To get (and keep) accurate demand forecasting back on track, companies need to completely rethink the status quo. The Fast Company Executive Board is a private, fee-based network of influential ...

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 ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Many businesses struggle with demand ...

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 ...

Someday, we’ll regale our grandchildren with tales of the COVID-19 era — about how, at the height of the global lockdown, venturing from our homes was virtually unthinkable without masks, hand ...

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 ...

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 ...