STOCK INVENTORY MANAGEMENT SYSTEM FOR TOPMED DIAGNOSTICS AND ANIMAL BITE CENTER

Abstract

TopMed Diagnostics and Animal Bite Center, established in August 2012, aims to provide high-quality, cost-effective healthcare services to its clients. This study aims to develop a Stock Inventory Management System for the clinic to improve the control and monitoring of product inflow and outflow, track stock usage, ensure an accurate and organized inventory, enhance operational efficiency, and provide alerts for supply shortages and expiring products. The study employs the Waterfall Model for system development, following a linear and sequential process. The planning phase involves identifying client needs and determining data collection methods. During the analysis phase, the gathered information is examined to form the basis for system design. The development stage covers documentation and actual system building. The design phase focuses on user interface creation and defining the system’s structure and functionality. The implementation phase involves programming and coding the system. Afterward, the testing phase ensures all components function as intended. Finally, the maintenance phase is designed to support long-term usability through updates and issue resolution. The development process resulted in a fully functional stock inventory system. Each feature—such as login authentication, stock check-in and check-out, usage tracking, expiration alerts, inventory logs, and user management—was tested and validated for reliability and efficiency. The structured approach enabled the successful delivery of a system that addressed the operational challenges initially identified. The implemented system addressed the clinic’s key inventory issues and streamlined stock monitoring processes. However, areas for improvement were identified. Future recommendations include the integration of financial accounting, delivery tracking for stock replenishment, and customer relationship management functionalities. These enhancements would further elevate the clinic’s operational capabilities and data handling precision.