AI models can process thousands of factors simultaneously, including demand signals across multiple items, macroeconomic indicators and real-time marketplace trends.

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 ...

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 ...

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 ...

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 ...

Financial forecasting is the act of estimating future financial outcomes for a business or an investment. It is a critical process in financial planning and decision-making. It employs statistical ...

Intel is looking for a Data Scientist who specializes in Demand and Supply Planning to develop advanced analytics and machine learning systems that will optimiz ...