LOCAL GOVERNMENT UNIT 1: LOGISTICS (STOCK TRACKING, AUDITING, FLEET MANAGEMENT PROCUREMENT, AND VENDOR PORTAL) WITH AI DETECTOR.

Abstract

The Local Government Unit 1: Logistics is a web-based system developed to automate logistics and asset management processes at the barangay level. It addresses the challenges of inefficient record-keeping, manual inventory tracking, delayed procurement processing, and stock shortages that impede service delivery. By integrating modules for stock tracking, fleet management, auditing, procurement, and vendor management, the system consolidates previously paper-based operations into a unified digital platform. Operating in real time, the system supports timely decision-making and enhances service reliability across barangay departments. The system was developed using the Agile-Scrum methodology with CodeIgniter (PHP) for backend development, HTML/CSS/JavaScript for the frontend, and MySQL as the database. The user interface was designed using Figma, and the system was deployed through Visual Studio 2019. Core modules include Inventory Management, Procurement, Fleet Management, Auditing, and Analytics. The system underwent unit testing, integration testing, and user acceptance testing to ensure functional stability and readiness for deployment. The implementation of the LGU Logistics System resulted in notable improvements in operational efficiency. Automated inventory monitoring reduced stock-related errors by over 45%, while procurement automation shortened processing cycles by 30%. Fleet monitoring and preventive maintenance features contributed to better vehicle utilization and reduced repair costs. The audit module reinforced transparency through detailed log tracking and accountability measures. Overall, the system optimized resource management and enhanced coordination among barangay departments. The study confirmed the system's effectiveness in resolving key logistical issues such as manual inventory recording, procurement delays, and inefficient fleet operations. The integration of real-time analytics and automated workflows allowed local government units to make data-driven decisions, promote transparency, and enhance service delivery. Future system improvements may include mobile responsiveness and AI-powered predictive analytics to further improve efficiency, accuracy, and responsiveness in barangay logistics management.