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

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 ...

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

Anar Mammadov is the CEO of Senpex Technology and a software development professional with over 18 years experience in enterprise solutions. Managing the modern supply chain requires coping with ...

Supply chain leaders are increasingly turning to artificial intelligence to revolutionize their demand-forecasting and inventory-management strategies. This shift comes as traditional forecasting ...

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 ...

Recent advances in forecasting demand within emergency departments (EDs) have been bolstered by the integration of machine learning and time series analytical techniques. The objective of these ...

Market Size: USD 13.93 billion -- 2032 Projected Market Size: USD 50.41 billion -- CAGR (2025--2032): 20.2%. AI in Supply Ch ...

DUBLIN--(BUSINESS WIRE)--The "High-Tech Logistics - Global Strategic Business Report" has been added to ResearchAndMarkets.com's offering. The global market for High-Tech Logistics was valued at US$50 ...

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 ...

While adaptation under uncertainty was the theme for 2025, the year ahead is shaping up to emphasize strategic resilience, ...