College of Engineering and Information Technology

From intuition to data science: AI students create a smart engine that is reshaping e-commerce decisions.

Inauguration of practical training for third-level medical equipment engineering students at Al-Jumhori Hospital
Inauguration of summer training for students of the Information Security Department, Level 4, at the General Institute of Communications
A scientific visit for second-level chemical engineering students to the National Beverage Industry Company
The President of the University meets the Dean of the College of Engineering
A scientific visit for the third level students of the Mechatronics Department to Amran Cement Factory
Continuing to display engineering projects for university students in the second building and construction fair
The President of the University organizes a visit to the Building and Construction Exhibition and reviews the university's pavilion participating in the exhibition
The College of Engineering and Information Technology hosts a symposium to review Autodesk engineering programs
Inauguration of the discussion of the first phase of the graduation projects of the Mechatronics Engineering Department, College of Engineering
A student art ceremony for the graduation of the fifth batch of the Medical Equipment Engineering Department for the academic year 1443 AH corresponding to 2021-2022
The Development and Quality Assurance Center holds a regular working meeting with the self-evaluation study preparation team
The university organizes a student visit to the Sana'a Exhibition for Information and Communication Technology, CITEX 2022
From intuition to data science: AI students create a smart engine that is reshaping e-commerce decisions.

From Intuition to Data Science: AI Students Develop a Smart Engine Reshaping E-commerce Decisions

 

University Media

 

In an academic display reflecting a high level of innovation and excellence, the College of Engineering and Information Technology at the Emirates International University witnessed the discussion of a unique graduation project by students from the Artificial Intelligence Department, titled:

 

"The Smart E-commerce Engine (IIE): Transforming E-commerce Decisions from Intuition to Data Science."

 

The project, created by students Bashar Al-Muntasir, Al-Baraa Al-Hindi, and Mohammed Al-Obaidi, under the distinguished academic supervision of Professor Ahmed Sultan Al-Hajami and Eng. Sundus Al-Nadhari, affirms that the university's graduates not only meet market demands but also contribute to reshaping and shaping its future.

 

The discussion took place in the presence of the Vice President of the University, Dr. Ahmed Al-Baadani, and with the participation of a specialized scientific committee that included Dr. Mohammed Al-Kholani and Dr. Malek Al-Jabri. The committee praised the project's advanced scientific level and its profound approach to addressing real-world challenges in the global e-commerce environment.

 

 The project represents a significant leap forward in the world of e-commerce by developing an integrated, enterprise-level software system designed to address the challenges faced by Amazon FBA investors, particularly those related to market saturation and profit erosion resulting from reliance on traditional analytics tools.

 

The “Intelligent E-commerce Engine (IIE)” is based on a sophisticated microservices architecture, transforming product selection from mere guesswork to investment decisions grounded in rigorous, scientific analysis of big data.

 

The system features a sophisticated five-indicator mathematical engine that comprehensively evaluates factors such as demand, competition, profitability, stability, and trend by integrating artificial intelligence models with deterministic mathematical equations. It also utilizes advanced algorithms like LightGBM for demand forecasting and hybrid NLP techniques (BERT and LLaMA) to analyze competitor reviews and identify precise investment opportunities.

 

 To enhance investment decision security, the team developed an innovative feature known as the "Margin Kill Switch," which automatically blocks any investment that does not achieve a minimum safe return on investment, thus providing a smart layer of capital protection.

 

On the user experience level, the system interface was designed using React.js, offering a fully integrated, AI-powered executive dashboard that displays in-depth analyses and strategic insights, along with a "Launch Decision Engine" that accurately categorizes investment opportunities as: Recommended, Under Review, and Rejected.

 

The system also relies on a modern technology ecosystem that includes FastAPI, PostgreSQL/TimescaleDB, and Celery/Redis, reflecting the high level of engineering expertise achieved by the university students in building intelligent systems applicable to real-world business environments.

 

The evaluation results proved that the system significantly reduces investment decision-making time while providing transparent explanations for each recommendation, thereby enhancing the efficiency and security of investments in e-commerce.

 

 This project clearly embodies the philosophy of the Emirates International University (EIU) in providing high-quality education based on practical application, innovation, and linking academic knowledge to the needs of the global market, thus producing a generation of highly qualified individuals capable of competing and making a difference.

 

It is not just a graduation project... it is a message affirming that the future is being built here.

 

#EmiratesInternationalUniversity

 

#ModernityExcellence

 

#EIU