The pharmacy management system, also known as the pharmacy information system, is a system that stores data and enables functionality that organizes and maintains the medication used within pharmacies. The purpose of Medical Store Management System is to automate the existing manual system by the help of computerized equipment’s and full-fledged computer software, fulfilling their requirements, so that their valuable data/information can be stored for a longer period with easy accessing and manipulation of the same. Currently, machine- learning (ML) algorithms are valuable for pharmacy management system. This provides the local entrepreneurs with a complete tech suite to run and automate their business operations. Pharmacy management system includes features like Web-based ordering systems, Stock organization and counting, Medication ordering, Reporting, E-prescribing, Automatic compound pricing and billing. The paper reviews the existing literature on the topic and provides insights into the future of machine learning in pharma management stores. Overall, the survey paper aims to provide a comprehensive overview of the current state of machine learning- based pharma management stores and highlight their potential impact on the pharmaceutical industry.

Keywords : Machine-Learning Algorithms, Automatic Compound Pricing,Pharmacy Management System.