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Book of Abstracts | 2025 Smart Queue - A Platform for Digital Queue Management in Local Businesses
SE-C-02
Falak Alswalma; falakal@ac.sce.ac.il
Abed Alrahman Abo Kheit; abedaab4@ac.sce.ac.il
Advisor: Dr. Karim Abu-Affash
SCE - Shamoon College of Engineering, Be’er-Sheva
Managing appointments manually can lead to inefficiencies and poor customer experience in local businesses. Smart queue is a web-based platform that simplifies appointment scheduling, allowing customers to book online and business owners to manage their schedules easily. Developed with modern web technologies, the system includes real-time updates, automated notifications, and a user-friendly interface. A key achievement is improving service accessibility and reducing wait times. In the future, we aim to integrate AI-based scheduling optimization and analytics to further support business growth.
Keywords: appointment booking, business, customer satisfaction, queue management, smart queue
Studio Sync for Advanced Fitness Management
SE-C-03
Lidor Katzav; lidorka@ac.sce.ac.il Matan Kalifa; mataka@ac.sce.ac.il
Advisor: Dr. Alexander Churkin
SCE - Shamoon College of Engineering, Be’er-Sheva
Managing a fitness studio requires streamlined scheduling, robust membership tracking, and real-time coordination. This project presents “studio sync”, an advanced solution that reduces manual data entry by integrating automated class enrollment, a centralized database, and an intuitive interface. A pilot study with local trainers demonstrated a 50% decrease in administrative workloads, leading to increased client satisfaction and operational efficiency. The main challenge involved combining two subscription types (date-based and training-count) while safeguarding sensitive user data from unauthorized access. This outcome shows the promise of a well-designed application to drive growth, ensure reliability, and foster more effective communication for small fitness studios, improving overall management. By merging technical design with practical requirements, the system addresses key operational challenges faced by trainers.
Keywords: automation, fitness, management, subscription
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