ABSTRACTPharmacy operations in many small andmedium healthcare setups continue to depend onmanual stock registers, handwritten billing records,and experience-based procurement strategies. Thesetraditional approaches often result in stockshortages, excessive inventory holding, expiredmedicines, financial loss, and inefficient workforceutilization. With the growing demand for accuracy,automation, and data-driven decision-making inhealthcare retail, there is a pressing need forintelligent pharmacy management solutions. Thispaper presents the design and implementation of aSmart Pharmacy Management System, developed asa containerized full-stack web applicationintegrating FastAPI, React, MongoDB, and aMachine Learning–based demand forecastingmodule. The system provides real-time inventorymonitoring, automated sales and billing operations,expiry date tracking with alert mechanisms, andshort-term demand prediction using a LinearRegression model. Docker-based containerizationensures platform independence, rapid deployment,and scalability. Experimental evaluation shows thatthe system significantly reduces manual workload,improves inventory accuracy, minimizes medicinewastage due to expiry, and enhances operationaldecision making through predictive analytics. Theproposed solution is modular, extensible, andsuitable for future expansion into enterprise-levelpharmacy chains and cloud-native healthcaresystems.