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
Osama Hamoud Alanazi
EE
Faisal Khalid Alyousef
Faisal Khalid Alyousef
COE
Riyadh Sulaiman Alkhudhayri
Riyadh Sulaiman Alkhudhayri
ICS
Adulrahman Abdulhalim Ammar
Adulrahman Abdulhalim Ammar
ICS
Usama Atif Bakkar
Usama Atif Bakkar
ICS
Albaraa Mastour Alsuwat
Albaraa Mastour Alsuwat
ISE

Team Coach

DR. Mohamed Faten Zhani
DR. Mohamed Faten Zhani
Assistant Professor

Computer Engineering Dept.