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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.
Salon management system, descriptive analytics, prescriptive analytics, ISO 25010, web-based
application, data-driven decision-making, usability, reliability, booking automation, customer management,
rules-based recommendation, small business technology
Many small firms still conduct their daily activities manually today. This may result in issues including mistakes,
hold-ups, and misunderstandings. Vicky Salon, a nearby beauty parlor that provides services including haircuts
and treatments, is one example. The company has been in operation for years and has a large clientele, but it still
manages reservations and client data using notebooks and verbal updates. As a result, they can run into problems
like duplicate reservations, misplaced documents, or forgetting what services a client has already received.
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In 2015, Vicky Salon began as a home-based beauty service and gradually expanded into a full-service salon.
However, their approach to handling things remained largely unchanged as the number of clients rose. It became
more difficult to oversee everything when the salon had just two employees, including the proprietor.
Additionally, there is no method for the salon to monitor its monthly revenue, busiest hours, or most popular
treatments. Instead of using actual data, they rely on guesswork for the majority of their decisions.
The goal of the study is to provide Vicky Salon with an online salon administration system. Customers are able
to schedule, modify, and cancel appointments online thanks to the system. Features of the system include an
appointment dashboard and a report generator that displays revenue trends and consumer visitation patterns. In
order for the salon to provide better, more individualized services, it employed clustering algorithms to group
clients according to their preferences and frequency of visits. Vicky Salon can use this system to prevent booking
issues, have a better understanding of the business's performance, and use actual data to inform improved
decision-making. This study also demonstrates how technology may help small businesses expand and improve
customer service.
The focus of the study is on the following essential features: appointment scheduling, customer administration,
dashboard visualization, and report generation. Through an easy-to-use interface, the platform enables salon
patrons to make, modify, and cancel appointments. At the same time, salon employees are able to effectively
manage reservations, view client histories, and arrange schedules. Additionally, the system consists of the
following.
1. An appointment dashboard that shows the activity in the salon and scheduled reservations.
2. A reporting module that facilitates data-driven decision-making by producing summaries on revenue
trends, service distribution, and peak hours.
3. Revenue reporting using descriptive analytics, which enables salon owners to see and analyze financial
trends over time to help them make well-informed business decisions.
4. A safe database where appointment logs and client profiles are kept.
In order to evaluate the platform's usability and efficacy for small to medium-sized salons, the study includes
technical development, user interface design, the integration of clustering algorithms to group customer behavior
and preferences, and the gathering of user feedback.
The limitations are as follows: (a) Advanced capabilities like staff performance monitoring and merchandise
inventory tracking are not included. The system's revenue reports are merely descriptive; they don't contain
forecasts or in-depth financial analysis; instead, they only display totals and patterns; (b) Additionally, the results
may not be applicable to all salon operations as their requirements may not be the same as that of V-SALON.
The V-SALON platform's purpose and design for salon operations are made clear by the concepts, theories, and
principles that comprise the theoretical basis for this study.
1. Data-Driven Decision Making (DDDM) - This idea is on enhancing commercial decision-making through
the use of precise data. In order to assist salon owners in making well-informed decisions about promotions,
services, and business planning, V-SALON uses descriptive analytics to monitor revenue, customer visits,
and appointment patterns.
2. Rules-Based Algorithm - The system classifies client preferences and booking patterns using a rules-based
algorithm according to parameters established by the salon, such as the most popular services and busy
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periods. This eliminates the need for sophisticated clustering algorithms and enables the system to produce
personalized recommendations and marketing campaigns.
3. Human-Computer Interaction (HCI) - Both employees and clients can easily traverse the platform thanks
to HCI's assurance that the system is simple to use and intuitive. Appointment scheduling and customer
record management are made quick and easy with V-SALON's intuitive layout and design.
4. Systems Theory Systems - Organizations are seen by theory as interdependent components that cooperate
to achieve a common objective. V-SALON streamlines processes and lowers errors in salon operations by
combining its analytics, customer management, and booking modules into a single solution.
The Input-Process-Output (IPO) Model explains how the study is conducted.
Figure 1: Input-Process-Output Model
Through a web-based platform, the system first gathers data entered by salon employees and clients. Details
about the customer's appointment, including name, service selection, and preferred time and day, are entered.
Along with the list of salon services and their associated costs, it also collects client choices and feedback.
The system's primary functions are booking automation, customer data management, and basic customer
analytics. Booking confirmations, slot availability, and calendar integration are all managed by the appointment
booking module. Customer records and service history can be created, read, updated, and deleted using the
customer management module. The analytics module also creates business insights and categorizes clients using
clustering techniques and descriptive statistics.
The outputs produced by the system are intended to boost customer happiness and operational effectiveness.
These results include a well-structured customer interface, improved customer involvement, and overall service
satisfaction, as well as an easy-to-use online booking system with automated confirmations and reminders.
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The following individuals and groups are expected to benefit from the study:
1. Salon Staff and Administrators - Salon owners and employees benefit from this initiative since it makes it
simpler for them to keep track of client information, schedule appointments, and review business data.
They will no longer have to rely on paper records, which lowers the possibility of data loss and scheduling
errors. They may also assess how well the business is performing financially and which services are in
demand.
2. Salon Customers - Additionally, clients will gain from the ease with which they may schedule
appointments. They can choose the time and service they want online rather than having to call or visit the
salon. They find the entire procedure quicker, easier to access, and more convenient as a result.
3. Students and Future Researchers - This initiative is an excellent educational opportunity for us students.
The opportunity to put what we've learned in class into practice and develop a system that addresses a real-
world issue is provided. It can also be used as a model or guidance for future research projects of a similar
nature by other students.
4. Small Business Owners and Professionals - Finally, this study has lessons for other small firms. It
demonstrates how, even for tiny businesses like beauty salons, technology can enhance daily operations
and customer service.
In summary, a wide range of people, including salon employees, students, and aspiring business professionals,
can benefit from this study. It demonstrates how important digital solutions are for enhancing services and
expanding a company.
Zhang et al. (2020) emphasized the role of digital transformation in improving operational efficiency and
customer satisfaction within service industries through online booking systems and automated customer data
management. Similarly, Wang and Chang (2018) examined the implementation of web-based appointment
systems among small and medium enterprises (SMEs), revealing a 60% reduction in scheduling errors and a
noticeable increase in customer retention. In the same context, Lee, Kim, and Park (2019) explored usability
factors in mobile salon booking applications in Korea, noting that user-friendly design, clear navigation, and
mobile responsiveness are key contributors to client satisfaction and sustained system adoption. Likewise,
Kumar and Bansal (2020) highlighted that service-based businesses integrating digital tools experience
significant improvements in workflow coordination and customer engagement by automating bookings and
notifications. Thompson (2021) conducted a study on the Fresha platform, a popular salon and spa management
system in the United Kingdom, and found that its integrated appointment scheduling, customer tracking, and
analytics features improved both administrative efficiency and service personalization. Moreover, the Vagaro
Salon Software Study (2018) in the United States showed that automation through cloud-based systems reduced
appointment no-shows and enhanced real-time customer interaction. Collectively, these international studies
demonstrate that web-based management systems significantly improve operational efficiency, customer
satisfaction, and business decision-making by combining usability, analytics, and automation—principles that
underpin the development of the V-SALON system.
Locally, Sena (2014) emphasized that customer satisfaction in beauty salons is largely influenced by the quality
of service, the organization of booking systems, and prompt responsiveness to client needs. Similarly, students
from Jose Rizal University (2020) developed a salon management system designed to streamline appointment
scheduling and service tracking, which led to reduced waiting times and better workflow management. The
Polytechnic University of the Philippines (2019) implemented an online appointment system for salons that
incorporated automated text reminders and client feedback collection, minimizing missed appointments and
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enhancing customer convenience. In addition, STI College (2021) developed a mobile salon booking application
that improved booking accessibility and reduced manual scheduling errors by allowing clients to view available
time slots and staff schedules in real time. These local studies collectively highlight the growing trend of digital
adoption among small beauty businesses in the Philippines, showing that automation and online systems
significantly enhance operational performance and customer relations.
Taken together, both international and local studies affirm that integrating digital platforms with analytics and
automation can greatly improve business operations, customer service, and decision-making. These insights
support the objectives of V-SALON: A Smart Salon Management System with Prescriptive and Descriptive
Analytics for Enhanced Admin Side Experience, which seeks to provide a comprehensive, user-friendly, and
data-driven platform for small salons like Vicky Salon. By incorporating features such as appointment
automation, customer record management, and descriptive analytics, the system aligns with proven strategies
that optimize efficiency, strengthen client engagement, and promote data-informed business growth in the beauty
and wellness industry.
The analysis of relevant research and literature emphasizes how urgently salon operations must undergo digital
transformation in order to overcome inefficiencies brought on by manual appointment scheduling and client data
management. Studies and literature from other countries, like those by Wang and Chang (2018) and Kumar and
Bansal (2020), show how data analytics, online booking systems, and user-friendly interfaces can greatly
improve service quality, operational effectiveness, and customer satisfaction in small and medium-sized
businesses. These results are corroborated by local literature and research from Philippine universities, which
highlight the advantages of putting in place online appointment systems with mobile accessibility, notification
capabilities, and well-organized record management for enhancing workflow and cutting down on client wait
times in salon settings. These insights are combined to create the V-SALON system which combines a rules-
based recommendation system, secure customer data management, descriptive and prescriptive analytics, and
easy online booking into a single, integrated platform. In order to improve operational workflows, customer
engagement, and decision-making for small salon businesses in the Philippines, this system combines the best
features of both domestic and international research. In the end, it helps the beauty and wellness sector grow and
modernize by offering a data-driven, well-organized, and easily accessible digital tool.
This study used a research strategy that combines developmental and prescriptive methodologies. Understanding
Vicky Salon's current operations, problems, and difficulties in manually handling reservations and client records
is the main goal of the descriptive component. The V-SALON Booking and Customer
Management System, a web-based platform with analytics capabilities, appointment scheduling, and customer
information handling capabilities tailored for small to medium-sized salon enterprises, is designed, developed,
and implemented during the developmental phase.
Interviews with Vicky Salon's owner and employees and owner as well as evaluation of the system are used to
gather primary data. The current procedures, difficulties, and particular needs of the salon's operation are
revealed by these data sources. Reviews of analogous systems, pre-existing records like appointment logs, and
citations to earlier research and literature that influenced the creation of the suggested platform are examples of
secondary data.
The development of the V-SALON system used the conventional System Development Life Cycle (SDLC)
paradigm.
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The stages of the SDLC consist of:
1. Planning & Analysis – Define the scope, identify user requirements, and assess technical feasibility.
2. Requirement Specification – Gather detailed system requirements from stakeholders.
3. Design – Create user interface mockups, system architecture, and database schema.
4. Development – Implement system modules such as booking, customer records, and reports using the
selected development tools.
5. Testing – Perform unit testing, system testing, and user acceptance testing.
6. Deployment – Launch the system in a live environment and provide initial user training.
7. Maintenance – Monitor performance, address bugs, and update the system as needed.
A context diagram is a high-level visual representation of the connections between a system and its external
elements, such as users, other systems, or processes. It provides a broad overview of the system's interactions
with its environment without getting into specifics.
Figure 3: Context Diagram
Figure 3 illustrates how the V-SALON system interacts with external users such as customers and salon staff. It
includes data flows such as booking submissions, customer information management, and system generated
reports.
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Users and technical specialists made up the two groups of respondents in the study. There are fifty (50)
responders in all.
1. User Respondents – Thirty (30) user-respondents are selected since they have experience with the system
and are familiar with its operation. They comment on how user-friendly the system is and how happy they
are.
2. Technical respondents - Twenty (20) technical professionals are selected due to their exposure to system
administration, development, and IT understanding. They used ISO 25010 standards to test the system's
functionality.
The following development tools are used in the study:
Table 1 shows the various development tools to create the V-SALON system and their use.
According to Patton (1987), evaluation is the methodical process of examining a product's attributes, capabilities,
and outcomes in order to determine its efficacy and direct future developments.
Two approaches of evaluation are used in the study:
1. User Experience Evaluation – Focused on how satisfied users are and how the system is easy to use.
2. Technical Expert Evaluation – Focused on how well the system worked and how useful it is.
Even though two categories are used, only one evaluation form is given to respondents. This form is
based on the ISO 25010 standards which helps evaluate software quality in a clear and structured way. The
system is evaluated using the following criteria:
1. Functionality – Refers to the system’s ability to deliver the expected features and operations correctly
and completely according to user requirements.
2. Usability – Measures how easy and convenient the system is to use, including its design, accessibility,
and overall user experience.
3. Efficiency – Evaluates how well the system utilizes time and computing resources to perform tasks
quickly and effectively.
4. Security – Assesses how the system protects user data and prevents unauthorized access, ensuring data
privacy and safe transactions.
These evaluation criteria ensured that the final version of the system achieved high-quality performance,
operated smoothly, and successfully addressed the operational needs and challenges of Vicky Salon.
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The evaluation of the system is guided by the ISO/IEC 25010 Software Quality Model, which provides a
comprehensive framework for assessing the overall quality of software systems. This model is chosen because
it aligns with the objectives of the V-SALON system in ensuring functionality, usability, reliability, security, and
maintainability. It serves as the primary reference in evaluating the system’s performance and determining its
effectiveness from both user and technical perspectives.
To analyze the collected data from the respondents’ evaluations, the researchers utilized appropriate statistical
tools to interpret and validate the system’s performance and user satisfaction. These tools enabled a quantitative
understanding of how well the system met the ISO 25010 quality standards.
1. Weighted Mean - This statistical tool is used to compute the average responses of participants for each
quality attribute in the ISO 25010 model. By applying the weighted mean, the researchers are able to
summarize overall feedback and determine the general acceptability of the system based on user and
technical evaluations.
2. Frequency Percentage - This method is applied to identify the distribution of respondents according to
specific classifications, such as user type or technical background. The results are expressed as
percentages to provide a clearer understanding of respondent demographics and their corresponding
feedback.
3. These analyses helped assess whether the system achieved the expected level of quality and met the ISO
25019 standards. A four-point Likert Scale is also employed to measure the respondents’ level of
agreement with each system quality characteristic.
4. The scale ranged from “1” (Strongly Disagree) to “4” (Strongly Agree), allowing the researchers to
quantify responses.
5. Each statement in the evaluation form is directly associated with one of the ISO 25010 quality attributes,
ensuring that every aspect of system performance is systematically assessed.
The integration of the Likert Scale, weighted mean, and frequency percentage provided a structured and objective
way to analyze user feedback. Through these statistical tools, the researchers are able to determine the
effectiveness, quality, and overall acceptability of the V-SALON system in addressing the operational needs of
small salon businesses like Vicky Salon.
The system, titled "V-SALON: A Smart Salon Management System with Prescriptive and Descriptive Analytics
for Enhanced Admin Side Experience," is a web-based platform developed to optimize and modernize salon
operations through data-driven management and automation. It replaces the salon’s traditional manual processes
with a centralized digital solution designed to handle customer bookings, manage client records, and generate
analytical reports. By integrating both descriptive and prescriptive analytics, the system enables salon
administrators to visualize trends, monitor business performance, and make informed decisions based on actual
operational data.
Developed using web technologies such as PHP (Laravel Framework), MySQL, HTML, CSS, and JavaScript,
the system ensures smooth, reliable, and scalable performance for day-to-day salon operations. Its functionalities
are tailored for small to medium-sized beauty salons, focusing on efficiency, accuracy, and enhanced customer
experience. Through its intelligent analytics features, the system not only automates appointment scheduling but
also provides actionable insights into customer preferences, popular services, and revenue patterns enabling
salon owners to develop targeted promotions and improve service quality.
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Key features of the system include:
Figure 4: Appointment Management Interface
The Appointment Management Interface lets both the customers and salon staff easily handle bookings in real
time. They can add, edit, or cancel appointments depending on their needs. It also shows the total, pending,
confirmed, completed, and cancelled appointments, which helps the admin keep track of all activities.
Figure 5: Analytics Dashboard Interface
The Analytics Dashboard Interface offers a visual summary of the salon’s overall performance, including daily
appointments, revenue trends, and customer visit frequency. It utilizes descriptive analytics to display historical
data and prescriptive analytics to suggest strategies for improving service delivery and customer retention.
Through interactive charts and real-time data visualization, salon administrators can easily monitor performance
metrics, assess peak hours, and track the most in-demand services.
By integrating automation with analytics, the V-SALON system empowers small salon businesses like Vicky
Salon to transition toward digital efficiency. It enhances operational workflows, improves customer service, and
supports strategic decision-making — all contributing to the growth and modernization of salon management
practices.
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Moreover, the inclusion of predictive analytics allows administrators to anticipate client demand, forecast
revenue trends, and identify high-value customers. Prescriptive analytics can then recommend optimized
scheduling or promotional strategies based on historical data patterns, enhancing the strategic value of the
platform for business growth.
The table of respondents’ distribution is shown:
Respondents
Size (n)
Percentage
Users
30
50%
Technical
20
40%
Total (n)
50
100%
Table 2: Distribution of Respondents
The table shows the total number and percentage of respondents who participated in the evaluation.
The combined summary of responses from both user and technical participants is also shown:
Criteria
(ISO25010)
Respondents (50)
Users (30)
Technical (20)
WM
VI
WM
VI
1. Functionality
3.11
Strongly Agree
3.62
Strongly Agree
2. Usability
3.18
Strongly Agree
3.75
Strongly Agree
3. Efficiency
3.07
Strongly Agree
3.54
Strongly Agree
4. Security
3.03
Strongly Agree
3.69
Strongly Agree
Overall Average Mean
3.07
Strongly Agree
3.70
Strongly Agree
Table 3: Summary ang Comparison of Evaluations of Respondents
Table 3 shows a summary and comparison of the evaluations of respondents based on the ISO/IEC 25010
Software Quality Model. The results show that the average score for user respondents was 3.07, which means
"Strongly Agree," and the average score for technical respondents was 3.70, which also means "Strongly Agree."
Usability had the greatest score from both users (3.18) and technical respondents (3.75) out of all the factors that
were looked at. This means that the system's interface is easy to use, easy to browse, and helps salon operations
well. Security got the lowest average score from both groups (3.03 for users and 3.69 for technical respondents).
This means that the system does a good job of protecting data and controlling access, but more security
improvements might be made to make sure that user data is kept private.
In general, both technical and user responders agreed that the V-SALON: A Smart Salon Management System
with Prescriptive and Descriptive Analytics met the ISO 25010 software quality criteria. The results show that
the system works, is safe, is easy to use, and is trustworthy. It improves the way things are done at Vicky Salon
and makes it easier to manage the business.
To further strengthen data protection, the system employs encryption techniques such as hashed passwords and
secure database storage. Access control is implemented through role-based authentication, ensuring that only
authorized salon staff can modify sensitive records such as financial reports and client details. Each transaction
is logged for audit purposes to detect and prevent unauthorized data manipulation. These measures collectively
enhance data privacy, integrity, and system security.
The researchers made sure that all ethical rules were followed during the trial. Before taking part in the research,
all participants were told what it was about and why it was being done. People who took part in the review
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process did so of their own free will, and no one is compelled or pressured to do so. We took great care to keep
all of the data we collected private and safe, and we made sure that any personal or sensitive information is kept
private. The data gathered is only used for research and academic reasons. Respondents are told that their answers
and comments would be kept private and only used to evaluate the system. The researchers also made sure that
the results are correct, valid, and unbiased by not changing or misrepresenting the data in any way. By following
these moral rules, the researchers kept the study's honesty, dependability, and openness intact while also making
sure that everyone involved in the system evaluation process is treated with respect and safety.
Moreover, the inclusion of predictive analytics allows administrators to anticipate client demand, forecast
revenue trends, and identify high-value customers. Prescriptive analytics can then recommend optimized
scheduling or promotional strategies based on historical data patterns, enhancing the strategic value of the
platform for business growth.
A web-based program called "V-SALON: A Smart Salon Booking and Customer Management Platform" is
created by the researchers specifically for small salons like Vicky Salon. Its primary goals are to securely manage
client records, automate appointment scheduling, and deliver data-driven insights via descriptive and prescriptive
analytics. Online appointment scheduling, rescheduling, and cancellation are all made possible by the system,
which also gives salon employees access to client records and the ability to create reports on service consumption
and income trends. The platform suggests engagement tactics and promotions based on user behaviour by
utilizing rules-based algorithms.
The ISO 25010 software quality standards are used to evaluate the system, with an emphasis on functionality,
usability, efficiency, and security. Participants in the evaluation included both technical experts and salon owner,
staff and customers grouped as users. Results indicated that by offering structured reports and insights, the
platform greatly decreased scheduling conflicts, boosted decision-making, and improved customer record
management.
Because it increases efficiency, reduces errors from manual booking, and streamlines operations, the study is
important to salon owners and employees. Customers gain from a quicker, easier, and more convenient booking
procedure as well. Additionally, the study shows how digital tools may modernize traditional operations and
foster corporate growth through technology, making it a useful resource for scholars, students, and small business
owners.
In addition, system performance was analyzed under higher user loads through stress testing, simulating multiple
concurrent users accessing the booking and analytics modules. Results indicated that the system maintained
stable response times and consistent performance, demonstrating scalability and reliability for small to medium
sized salons during peak hours.
The respondents, who included both technical experts and user respondents are identified by the study. Based on
the ISO 25010 software quality standards, the evaluation's findings demonstrated that the V-SALON system
satisfied respondents' expectations. User respondents overwhelmingly concurred that the system is user-friendly,
practical, and efficient for scheduling and appointment scheduling. Technical experts also concurred that the
system followed software quality requirements, preserved data security, and operated dependably. The V-
SALON system effectively enhanced appointment scheduling, streamlined client record administration, and
offered data-driven insights to support salon operations, according to the overall results.
A comparative analysis between V-SALON and existing salon management tools such as Fresha and Vagaro
shows that V-SALON’s integration of prescriptive analytics and rule-based recommendations provides unique
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value for small local businesses. Unlike these commercial systems, V-SALON is designed for localized
implementation and cost-effectiveness while maintaining data control within the salon’s database.
Future enhancements can also include integrating mobile applications for real-time client notifications and
accessibility, inventory management for monitoring product usage, and staff performance tracking to optimize
workflow and service quality. These features would further extend the system’s usability and provide
administrators with comprehensive operational insights.
Future researchers are advised to improve the V-SALON system by incorporating sophisticated functions not
included in the study, like staff performance monitoring and salon product inventory management. In order to
help long-term business planning, they might also enhance the analytics module by incorporating deeper
customer trend forecasts and predictive financial analysis. Additionally, testing the system on a wider range of
salons and related businesses would help confirm its efficacy in more diverse settings. In order to increase
accessibility and provide real-time notifications, future research can also look into developing mobile
applications. This will guarantee that the system keeps evolving to meet the needs of both salon employees and
customers.
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