AI-Enabled Demand Forecasting for Healthcare Product Distribution
Abstract
Accurate demand forecasting is critical for ensuring the availability of healthcare products such as medicines, vaccines, and medical equipment. This paper presents an AI-enabled demand forecasting model that utilizes machine learning algorithms and historical healthcare data to predict product demand across regions. The system incorporates seasonal trends, disease outbreak patterns, and demographic data to improve forecasting accuracy. Experimental results demonstrate reduced stockouts, improved inventory management, and enhanced efficiency in healthcare product distribution networks.
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