From patient flow to supply chain management, a preliminary understanding is necessary for identifying the stakeholders involved and the unique challenges healthcare facilities face. Historical data on patient demographics, diagnoses, and prescriptions can be leveraged by technological solutions to determine demand for various services, supplies, and equipment types. Forecasting demand aids healthcare administrators and professionals in making better decisions to enhance healthcare efficiency and quality of care. The study emphasizes the potential of technological advancements to optimize healthcare services by managing logistical parameters, identifying critical medical supplies for inventory replenishment, and improving supply chain performance to minimize wastage and stockouts. The primary objective is to guarantee the availability of the right products at the right time. The literature discusses the integration of Artificial Intelligence and predictive analytic solutions that can identify processes and reduce healthcare expenses by forecasting inventory data.