Term 252
Smart Warehouse Platform: AI Forecasting with IoT Tracking and Real-Time Optimization
Project Type: Self-Initiated
Project Description
This project develops a smart warehouse platform for Saudi SMEs that combines IoT sensing, event-driven inventory tracking, centralized data management, and AI-based demand forecasting. The system improves near-real-time inventory visibility, supports restocking decisions, and reduces stockouts, overstocking, and manual effort through a low-cost, scalable solution.
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Project Team
Osama Hamoud Alanazi
EE
Faisal Khalid Alyousef
COE
Riyadh Sulaiman Alkhudhayri
ICS
Adulrahman Abdulhalim Ammar
ICS
Usama Atif Bakkar
ICS
Albaraa Mastour Alsuwat
ISETeam Coach
DR. Mohamed Faten Zhani
Assistant ProfessorComputer Engineering Dept.