Date of Publication :5th June 2025

Abstract: This paper presents a novel cross-platform salon appointment management system that boosts operative performance through real-time, skill-based staff scheduling as well as smart workload balance. As a constantly changing beauty and wellness industry, booking appointments and making optimal use of employee abilities is a major hurdle. Such challenges are overcome by this system by exploiting real-time data and intelligent matching algorithms that can dynamically calibrate appointments to staff based on individual client service needs and individual staff expertise. In doing so, it makes sure every individual customer gets to receive service from the most competently skilled professional, this works to improve service quality and customer satisfaction. Besides, the system employs workload balancing mechanisms that monitor and share out tasks equitably among employees to avoid burn-out brought by over use as well as dis-engagement triggered by under use. The intelligent scheduling algorithm is dynamic in nature and takes into account such parameters as appointment length, availability of employees with matching skill set. It maintains a healthy balanced working environment leading to better employee morale and retention. The solution is built on a cross-platform basis, providing availability and functionality for salon personnel and clients on various devices. With reduction of idle time, better resource allocation and better user experience, the system offers a scalable model for modern salons. It ultimately leads up to building a more sustainable, more efficient, more client-centred salon management ecosystem.

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