Michael Amori is CEO and cofounder of Virtualitics. A data scientist and entrepreneur with a background in finance and physics. Accurate demand forecasting is the linchpin of effective inventory, cost ...
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 ...
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 ...
Fashion has an inventory management problem, and it’s only intensified in recent years. Solving these challenges has proven elusive, leaving the industry with billions in unsold stock annually and ...
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 ...
Supply chain leaders are increasingly turning to artificial intelligence to revolutionize their demand-forecasting and inventory-management strategies. This shift comes as traditional forecasting ...
Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Launching a new product in today’s market isn’t just risky; it’s like setting sail into ...
Can predictive analytics support labor cost forecasting by improving staffing and aligning resources with patient demand in health systems?
Water demand forecasting is an indispensable element in the sustainable management of water resources, as growing populations and climatic uncertainties intensify the pressure on water supplies.
Retailers like Target and Walmart use AI to prevent stockouts and manage inventory. AI systems can predict demand to help improve inventory accuracy and availability. This article is part of "How AI ...
Participants are expected to have an advanced degree in economics or finance, or equivalent work experience; a basic understanding of econometrics; the ability to interpret econometric results; and ...
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