Vicky Salon: A Smart Salon Management System with Prescriptive and Descriptive Analytics for Enhanced Admin Side Experience
Authors
(SY 2025-2026) Arellano University, Pasig Campus (Philippines)
(SY 2025-2026) Arellano University, Pasig Campus (Philippines)
(SY 2025-2026) Arellano University, Pasig Campus (Philippines)
(SY 2025-2026) Arellano University, Pasig Campus (Philippines)
(SY 2025-2026) Arellano University, Pasig Campus (Philippines)
Article Information
DOI: 10.51584/IJRIAS.2025.10100000131
Subject Category: Information Technology
Volume/Issue: 10/10 | Page No: 1459-1470
Publication Timeline
Submitted: 2025-10-18
Accepted: 2025-10-24
Published: 2025-11-14
Abstract
This study shows how V-SALON, a smart salon management system, is made and tested. It is made to make small beauty salons like Vicky Salon run more smoothly and make customers happier. To help with datadriven decision-making, the system combines both prescriptive and descriptive analytics. Before, manual booking and record-keeping, which caused difficulties including multiple bookings, missing client data, and poor scheduling are operational issues. To solve these problems, the researchers created a web-based platform that automatically makes appointments, keeps track of customer information, and creates reports that analyze sales trends, client visits, and service performance. The system also has a rules-based suggestion tool that sorts customers by how often they visit and what services they like best. This helps salon owners find loyal customers and tailor their promos to them.
ISO 25010 software quality criteria is used to evaluate the system. The results showed that both technical and user responders agreed that the system is easy to use, safe, and good at controlling operations. The study found that V-SALON may greatly cut down on mistakes made by people, help with time management, and give businesses useful information to help them expand.
It is recommended that future researchers enhance the V-SALON system by adding advanced features not included in the study, such as inventory tracking for salon products and staff performance monitoring. They may also improve the analytics module by integrating predictive financial analysis and deeper customer trend forecasting to support long-term business planning. Furthermore, expanding the system’s testing to a larger number of salons and different business types would help validate its effectiveness in broader contexts. Future studies can also explore mobile application development for greater accessibility and real-time notifications, ensuring the system continues to adapt to the needs of both salon staff and clients.
Overall, the study shows how smart management solutions may help small firms become digital and improve their operations.
Keywords
Salon management system, descriptive analytics
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References
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