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 tasked with creating a demand forecasting prototype on the side of my regular work. I ...

Researcher Kanidaye Okorji is developing a machine-learning-based inventory-optimisation framework to help distribution networks predict stock shortages, quantify inventory losses, and make more ...

I'm not sure whether to solve this with generative AI or traditional machine learning.' I receive this inquiry very often these days.I believe the background to this is that 'AI' has come to almost ...

Time series prediction sits at the heart of some of the most consequential decisions modern society makes. Grid operators forecast electricity demand hours ahead to balance supply, meteorologists ...

Machine learning has become an important component of enterprise applications, supporting use cases such as fraud detection, ...

Machine learning operates as the silent engine behind modern digital infrastructure. It filters out malicious traffic, anticipates supply chain bottlenecks, and guides autonomous vehicles. However, ...

Demand planning is key to successful inventory management, and knowing the types of demand is crucial for demand planning. Two primary concepts are core to demand planning: independent demand and ...