Decision Support System for Product Selection Using Artificial Intelligence

Elaf Ahmed Alshaikh Saad, Talha Ahmed Mohamed Alobeid, Amal Awad Mirghani Yassin and Ammar Mohamed Abdo Musa
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Elaf Ahmed Alshaikh Saad: Department of Information Technology, Alzaiem Alazhari University, Khartoum, Sudan
Talha Ahmed Mohamed Alobeid: Department of Information Technology, Alzaiem Alazhari University, Khartoum, Sudan
Amal Awad Mirghani Yassin: Department of Information Technology, Alzaiem Alazhari University, Khartoum, Sudan
Ammar Mohamed Abdo Musa: Department of Information Technology, Alzaiem Alazhari University, Khartoum, Sudan

International Journal of Research and Scientific Innovation, 2025, vol. 12, issue 5, 706-708

Abstract: This paper presents the development of an AI-based decision support system (DSS) to assist users in selecting products efficiently and accurately. The system analyzes users’ preferences and purchasing behaviors using machine learning and big data techniques to generate personalized recommendations. We discuss the system architecture, implementation process, and the challenges of integrating AI in DSS, such as data security and recommendation accuracy. Quantitative performance metrics are presented to evaluate system effectiveness.

Date: 2025
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