BDO USA reports that generative AI helps retailers forecast demand by analyzing real-time data trends, improving inventory ...

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 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 North American energy sector is experiencing a significant shift driven by the rapid growth of distributed energy ...

This paper develops G3MOD, a semi-structural gap-trend model designed for frequent external sector forecasts crucial in macroeconomic forecasting. Focused on the G3 economies (US, Euro Area, and China ...

In dynamic operating environments, the real advantage comes from shortening the distance between changing assumptions and changing decisions.

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 ...

HARRISBURG, Pa. — The forecasts are eye-popping: utilities saying they’ll need two or three times more electricity within a few years to power massive new data centers that are feeding a fast-growing ...

In a world where data-driven decision-making is increasingly critical to supply chain resilience and agility, many global enterprises still rely on outdated processes to exchange mission-critical ...