Prin Track_ Real-Time Workflow Monitoring Management and Inventory using Predictive Analytics and Logistic Regression Algorithm for Designers Print

Authors

Mel Shandlar R. Blando

(SY 2025-2026) Arellano University, Pasig Campus (Philippines)

John Paul M. Mangana

(SY 2025-2026) Arellano University, Pasig Campus (Philippines)

Sophia Lorrine P. Acebron

(SY 2025-2026) Arellano University, Pasig Campus (Philippines)

Daniel M. Maure

(SY 2025-2026) Arellano University, Pasig Campus (Philippines)

Dina Cura

(SY 2025-2026) Arellano University, Pasig Campus (Philippines)

Marisol De Guzman

(SY 2025-2026) Arellano University, Pasig Campus (Philippines)

Article Information

DOI: 10.51584/IJRIAS.2025.1010000077

Subject Category: Management

Volume/Issue: 10/10 | Page No: 942-953

Publication Timeline

Submitted: 2025-09-21

Accepted: 2025-09-26

Published: 2025-11-07

Abstract

The PrinTrack System is a web-based workflow monitoring and inventory management platform developed to enhance the efficiency, accuracy, and transparency of customized printing operations. It enables administrators and operators to monitor order progress, manage inventory, and track production status in real time. Developed for Designer’s Print, a small-scale printing company specializing in customized shirts, mugs, and stickers, the system addresses issues related to delayed tracking, miscommunication, and inefficiency in manual monitoring processes. PrinTrack, a real-time workflow monitoring and inventory management system that utilizes predictive analytics through the Logistic Regression algorithm to enhance operational efficiency for Designers Print. It seeks to predict product demand and workflow status, enabling data-driven decisions for inventory control and resource allocation. PrinTrack also offers administrative control, live notifications, and an organized database structure for efficient record management.
The study employed a quantitative research design using structured surveys and system testing to collect measurable data regarding the system’s functionality, reliability, and usability. Developed using PHP for backend processes, JavaScript and CSS for user interface design, and MySQL for database management, the system utilizes data visualization tools to monitor workflow and inventory in real time. The study utilized the Iterative Methodology, allowing the system to be continuously developed, tested, and refined based on user and expert feedback. This approach ensured that improvements were made in each cycle, enhancing the system’s reliability, usability, and overall performance. In accordance with the ISO 25010 Software Quality Model, the system was evaluated in terms of Reliability, Efficiency, Usability, Security, and Portability by 50 respondents comprising 40 users and 10 technical experts. Their evaluation provided comprehensive insights into both user experience and technical functionality, ensuring that the system met quality standards and operational effectiveness.
PrinTrack is a web-based system that enhances workflow monitoring and inventory management for Designer’s Print using predictive analytics through the Logistic Regression algorithm. The system effectively improved operational efficiency, reliability, and usability based on ISO 25010 evaluations from users and technical experts. It is recommended to integrate mobile accessibility and advanced analytics to further enhance system functionality and decision-making efficiency.

Keywords

PrinTrack, Workflow Monitoring System, Real-Time Inventory, Logistic Regression Algorithm

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References

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