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 ...

From Human Judgment to Algorithmic Intelligence Traditional driving relies on human perception, reaction time, and experience. Machine learning replaces this with systems that can analyse millions of ...

Abstract: The vertical grid load is one of the main input variables to determine the load flow on the transmission grid in system operation centers. As it depends on a variety of input variables, a ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

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

The system generates daily forecasts of cargo tonnage, ULDs, and piece counts by flight, truck, customer, transport mode, and ...

CIGO Tracker's AI system continuously refines its predictions by analyzing new delivery data and identifying emerging patterns. The machine learning algorithms adapt to seasonal variations, changing ...

Explore adaptive AI SEO tools of 2026. Intelligent, data-driven systems that learn and refine search performance automatically.

According to the MarkTechPost report, CatBoost’s high accuracy and processing speed, along with its broad versatility, allowed it to be included among six non-US technologies that have succeeded in be ...

Bitcoin (BTC) surged nearly 5% early Monday, November 10, climbing back above $106,000 after briefly plunging below $100,000 last week. The uptick came as investors rushed to “buy the dip” following a ...