Impact Factor (2025): 6.9
DOI Prefix: 10.47001/IRJIET
Android
smartphones are increasing in day-to-day life with lots of features including
GPS, Wi-Fi, camera, and 5G connectivity. This paper addresses the issue of long
waiting queues in salons, which often lead to customer dissatisfaction and time
loss. The proposed system introduces a Salon Seat Booking Application that
enables users to book appointments conveniently from their smartphones. The app
uses GPS-based location services to find the nearest salons quickly and
efficiently. Users can browse through available salons, view services, and
check real-time availability of seats. The booking system minimizes the need
for physical waiting, saving both time and effort for customers. Salon owners
can manage appointments more efficiently, reducing scheduling conflicts and
maximizing seat utilization. The backend uses a centralized database to handle
booking details, customer information, and salon data. Push notifications keep
users updated about their appointment status and available time slots. The system
also allows cancellation and rescheduling, providing flexibility to users. The
app is developed using Android Studio, with Java for the frontend and a REST
API backend for data communication. The database ensures accurate and secure
handling of bookings and user profiles. This approach promotes digitalization
in the beauty and grooming industry. The solution is scalable and can be
adapted to multiple salons in a particular city or region. By automating the
process, the system reduces manual errors and improves service efficiency. The
real-time tracking of appointments ensures transparency for both customers and
salon staff. This research demonstrates how technology can modernize
traditional salon operations. The application also improves customer experience
by offering convenience and reliability. Overall, this paper presents a smart,
efficient, and user-friendly solution for salon seat booking and nearest shop
detection.
Country : India
IRJIET, Volume 9, Issue 10, October 2025 pp. 13-17