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

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

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 ...

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 ...

Tourism demand forecasting has evolved into a multifaceted discipline essential for informing policy, investment, and operational planning in the tourism sector. Traditionally reliant on historical ...

In today’s rapidly evolving business landscape, the ability to accurately forecast sales is more critical than ever. Yet, traditional sales forecasting methods are increasingly proving inadequate, as ...

Researchers at Institute of Science Tokyo have developed a novel Group Encoding method that accurately forecasts electricity demand using only On/Off device data from building energy systems. Tested ...

Saurabh is the Vice President & Head of Digital Modalities at SAP, leading AI adoption to increase sales & business development productivity. In our globalized economy, supply chains are the lifelines ...

The requirements for retail success don’t get much more basic than the ability to accurately forecast customer demand. Even a mom-and-pop bodega has to have a pretty good sense of how many people will ...

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 ...