Term 232
Smart Restocking and Quality Monitoring System
Project Type: Self-Initiated
Project Description
Retail shelves frequently deplete before staff can detect, resulting in customer frustration. Our system utilizes intelligent solutions to promptly alert employees of low stock levels, while our desktop application efficiently manages inventory and facilitates restocking requests. Moreover, an assistant button enhances customer satisfaction, optimizes staff deployment, and elevates service standards.
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Project Team
Moadh Ahmad Mohzary
Applied Electrical Engineering
Amer Rasheed Alsaiari
Mechanical Engineering
Khalid Tawfiq Almejbil
Computer Science
Saud Ali Almansour
Computer Science
Abdullah Fawzi Al Harbi
Mechanical Engineering
Amjad Ibrahim Adam
Industrial & Systems Engg.Team Coach
Dr. Emad Ramadan
Assistant ProfessorDepartment of Information and Computer Science
Interdisciplinary Research Center for Sustainable Energy Systems