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 ...

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 ...

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 ...

Analyst Insight: As parcel networks normalize post-pandemic but cost structures evolve, forecasting and demand planning have become continuous, data-driven disciplines. Shippers that integrate ...

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 ...

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 ...

Editor’s note: The following article is a joint project of professors in the University of Tennessee Knoxville’s Global Supply Chain Institute. For more on the Institute, click here. Demand planners ...

Analyst Insight: By optimizing forecasting, replenishment, and logistics, artificial intelligence helps grocers reduce excess stock, spoilage, and unnecessary transport — all of which cut costs and ...

Forecasting problems are cultural, not just technical. Despite decades of improved statistical models and better MAPE ...

Artificial Intelligence (AI) is now a major force in the U.S. economy. The rapid expansion of data centers in the United States has emphasized the challenges facing the U.S. electricity sector, which ...