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

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

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 ...

Launching a new product in today’s market isn’t just risky; it’s like setting sail into uncharted waters during a storm, with no compass and relying solely on your instincts to guide you. Throughout ...

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

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 ...

Forecasting electricity demand in buildings is now more accurate with Group Encoding (GE), a new method that uses only existing device operation data. Developed by researchers at the Institute of ...

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 ...

ATLANTA--(BUSINESS WIRE)--Manhattan Associates Inc. (NASDAQ: MANH) announced today that Lamps Plus, the nation’s leading specialty lighting retailer, has implemented Manhattan’s Demand Forecasting and ...