Abstract: In the aviation industry, inventory management based on non-smooth demand forecasting is an ongoing challenge. Generally, aircraft parts lack easily observable demand patterns. Through ...

Reverse Logistics, Artificial Intelligence, Circular Economy, Supply Chain Management, Sustainability, Machine Learning Share and Cite: Waditwar, P. (2026) De-Risking Returns: How AI Can Reinvent Big ...

Oversimplifies trends and ignores real-world disruptions. Can’t predict economic downturns, competitor actions and shifts in customer behavior on its own. Ignores randomness; every forecast will have ...

Discover how human resource planning might be used to estimate the correct demand for labor in a given market, both qualitatively and quantitatively.

AI market forecasting uses predictive analytics and strategic planning tools to anticipate demand shifts, optimize decisions, ...

Abstract: The transition of the automotive sector to electric vehicles (EVs) necessitates research on charging demand forecasting for optimal station placement and capacity planning. In the literature ...

This issue of The Journal of Energy Markets goes to press at a time of unprecedented structural transformation in the global energy landscape, shaped by accelerating climate and decarbonization ...

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Reactions to Kimmel's suspension, Trump publicly rebukes Putin, and more Length: Long Speed: 1.0x Every three months, participants in the Metaculus forecasting cup try to predict the future for a ...

Researchers at Institute of Science Tokyo have developed a novel Group Encoding method that accurately forecasts electricity demand using only On/Off device data from building energy systems. Tested ...