Published on: April 2026
REAL-TIME SALON APPOINTMENT SCHEDULING AND BUSINESS INTELLIGENCE PLATFORM: ARCHITECTURE, IMPLEMENTATION, AND PERFORMANCE ANALYSIS
Aniket Bisen
Prof. Rasika Samrit ,Prof. Rohan B. Kokate
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Abstract
This paper presents the design, implementation, and evaluation of LUXE SALON—a full-stack, real-time appointment scheduling and business intelligence platform for the salon and wellness industry. The system integrates a RESTful backend built on Node.js and Express.js with a SQLite relational database, JWT-based stateless authentication, and a responsive single-page frontend. The platform addresses critical operational challenges in small-to-medium salon businesses including double-booking prevention, real-time slot conflict detection, and actionable revenue analytics. The admin dashboard provides live KPIs such as daily appointment counts, revenue trends, stylist utilization rates, and service popularity rankings. Experimental evaluation on a local deployment demonstrates sub-100 ms API response latencies under concurrent load, zero booking conflicts across 500 simulated sessions, and a 73% reduction in manual scheduling effort compared to paper-based methods. The architecture is extensible toward cloud deployment, multi-branch operations, and AI-driven demand forecasting.
How to Cite this Paper
Bisen, A. (2026). Real-Time Salon Appointment Scheduling and Business Intelligence Platform: Architecture, Implementation, and Performance Analysis. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(04). https://doi.org/10.55041/ijcope.v2i4.580
Bisen, Aniket. "Real-Time Salon Appointment Scheduling and Business Intelligence Platform: Architecture, Implementation, and Performance Analysis." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i4.580.
Bisen, Aniket. "Real-Time Salon Appointment Scheduling and Business Intelligence Platform: Architecture, Implementation, and Performance Analysis." International Journal of Creative and Open Research in Engineering and Management 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i4.580.
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- •Published on: Apr 24 2026
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