AI models can process thousands of factors simultaneously, including demand signals across multiple items, macroeconomic ...

With legacy load forecasting models struggling with unpredictable events that are becoming ever more common, power-hungry AI offers a solution.

In this interview News Medical is talking to David James about pharmaceutical forecasting, J+D Forecasting solutions and their plans for the future. Pharmaceutical forecasting sounds very niche and ...

At first glance, forecasting behavior might seem far-fetched—can we really predict how people will act? It's a fair question. But just as we once questioned whether we could reliably predict the ...

Effective forecasting is all about understanding the uncertainty that lies ahead, and not rushing to a conclusion. Do you know the difference between accurate forecasting and effective forecasting?

Much like the invigorating passage of a strong cold front, major changes are afoot in the weather forecasting community. And the end game is nothing short of revolutionary: an entirely new way to ...

Time series forecasts are used to predict a future value or a classification at a particular point in time. Here’s a brief overview of their common uses and how they are developed. Industries from ...

While demand planning accuracy currently hovers around 60%, DLA officials aim to push that baseline figure to 85% with the help of AI and ML tools. Improved forecasting will ensure the services have ...

Supply chain forecasting is becoming an increasingly critical component of operational success. Accurate forecasting enables companies to optimize inventory levels, reduce waste, enhance customer ...

The Trump administration's plan to dismantle the nation's atmospheric research programs could set U.S. forecasting back a generation or more, a cadre of retired federal hurricane, weather and ocean ...