There is a widening gap between the sophistication of manufacturing data models and the reality of the production line.

From new tariffs and trade uncertainty to geopolitical tension and extreme weather events, external forces have upended traditional demand forecasting approaches. Among those most impacted are the CPG ...

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 ...

From idle production lines to costly rush orders, poor spare parts forecasting can cripple operations. New AI, statistical models, and integrated tracking systems are helping companies predict demand ...

Tanmay is a pharmaceutical demand forecasting and commercial analytics leader whose work has focused on building forecasting systems that operate like enterprise infrastructure: scalable across large ...

The fashion supply chain has typically relied on a push model of production, as retailers ask factories to mass manufacture merchandise before there is definite demand. But there are significant ...