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Decision Support System for Product Selection Using Artificial Intelligence

Author

Listed:
  • 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)

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.

Suggested Citation

  • Elaf Ahmed Alshaikh Saad & Talha Ahmed Mohamed Alobeid & Amal Awad Mirghani Yassin & Ammar Mohamed Abdo Musa, 2025. "Decision Support System for Product Selection Using Artificial Intelligence," International Journal of Research and Scientific Innovation, International Journal of Research and Scientific Innovation (IJRSI), vol. 12(5), pages 706-708, May.
    • Handle: RePEc:bjc:journl:v:12:y:2025:i:5:p:706-708
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