Accurate pharmaceutical demand forecasting is essential to ensure timely drug availability, reduce inventory costs, and improve operational efficiency in healthcare supply chains. However, existing ...

Integrated forecasting and supply chain planning platforms can close the gap between forecasting and execution by connecting ...

To enhance the dynamic perception and accuracy of tourism demand forecasting in smart tourism scenarios, this paper proposes a forecasting framework integrating a spatial econometric model and deep ...

Editor’s note: This article first appeared on the University of Tennessee, Knoxville’s Global Supply Chain Institute’s blog. It is being reprinted with permission. You can read the original post here.

Input-cost volatility quietly erodes margins. See where AI cost forecasting helps food manufacturers buy lead time, and how ...

Many industries face growing demand complexity amid macroeconomic uncertainty, and the automotive aftermarket is no different. In our industry, diversity in vehicle make, model and engine ...

Changing consumer purchasing habits are making produce demand forecasting an arduous endeavor. It is vital that retailers accurately predict customer interests to avoid merchandising excessive amounts ...

Overview:  Predictive intelligence helps executives anticipate future outcomes rather than relying solely on historical ...

New data-driven models help anticipate car battery shortages using weather, vehicle data and retail signals to keep stores ...

Analyst Insight: Consumer packaged goods companies strive for supply chain optimization, but many still face a fundamental challenge: accurately predicting true shopper demand. Modern retailers ...