An ERP System Completely Stacked with Facebook Prophet for Drug Inventory Management and Sales Forecasting

This document outlines a comprehensive ERP system designed to tackle the complexities associated with pharmaceutical inventory management and demand prediction. We incorporate contemporary web technologies alongside a machine learning-driven time-series forecasting model (Facebook Prophet) to provide a scalable solution that facilitates automated inventory oversight and precise sales projections. The system we propose includes a dual-interface dashboard tailored for both vendors and customers, real-time inventory monitoring, as well as intelligent prompts for reordering. Findings indicate that our system significantly diminishes occurrences of drug stockouts, optimizes the utilization of resources, and enhances patient adherence to medication regimens.