A peer-reviewed industry survey highlighting gaps in traditional demand forecasting and the role of AI in new product ...

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 ...

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

Overview The competitive market demands quick and accurate pricing decisions for sustainable growth.Forecasting should be ...

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

Recent advances in AI, such as foundation models, make it possible for smaller companies to build custom models to make predictions, reduce uncertainty, and gain business advantage. Time series ...

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 ...

Bed capacity management is of critical importance to health systems, impacting patient care and safety, operational efficiency, system sustainability and financial performance. Efforts to improve and ...