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 ...

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 ...

Launching a new product in today’s market isn’t just risky; it’s like setting sail into uncharted waters during a storm, with no compass and relying solely on your instincts to guide you. Throughout ...

A Systematic Review of Adoption, Barriers and Strategic Implications and published in Administrative Sciences, reviewed 37 peer-reviewed studies from 2015 to 2025 and found that AI-driven demand ...

Construction projects generate constant signals about cost, schedule, labor, safety and risk, but predictive analytics turns ...

This week’s Top 10 looks at the applications of machine learning in the energy sector, spotlighting those leading the way ...

The expansion of large language models (LLMs) is creating a new problem for power grids: electricity demand from AI data ...

When supply chain practitioners think about forecasting, they focus on demand forecasting. Demand forecasting is essential, but the number of different forecasts that an effective organization should ...

A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...