StallSync: Intelligence Management System for Food Stalls

Yeoh, Zhe Heng (2026) StallSync: Intelligence Management System for Food Stalls. Final Year Project (Bachelor), Tunku Abdul Rahman University of Management and Technology.

Text RSW_Yeoh Zhe Heng_FullText.pdf Restricted to Registered users only Download (13MB)

Abstract

This project introduces StallSync: Intelligent Management System for Food Stalls, designed to address key challenges in the Food and Beverage (F&B) industry. It resolves issues like a lack of data-driven insights, manual billing errors, and inefficient staff management. The system leverages real-time data analytics to provide actionable insights into sales, product trends, and customer behavior, empowering managers to make informed decisions. Automated digital billing and payment systems reduce errors, support modern payment methods, and streamline promotional management. Staff management tools enable effective scheduling, task assignment, and sales and order counts tracking, improving operational efficiency and employee satisfaction. Built using JavaScript frameworks such as Node.js and Express.js, with a modular API-driven architecture, the project follows the Agile development model for iterative testing and improvement. The expected outcome is a robust, user-friendly system that enhances operational efficiency, improves customer satisfaction, and supports sustainable business growth in canteens and food courts.