Designing an Intelligent Scoring System for Crediting Manufacturers and Importers of Goods in Industry 4.0

Mohsin Ali, Abdul Razaque (), Joon Yoo, Uskenbayeva Raissa Kabievna, Aiman Moldagulova, Satybaldiyeva Ryskhan (), Kalpeyeva Zhuldyz and Aizhan Kassymova
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Mohsin Ali: Department of Computer Engineering, International Information Technology University, Almaty 050000, Kazakhstan
Abdul Razaque: Department of Cybersecurity, Information Processing and Storage, Satbayev University, Almaty 050000, Kazakhstan
Joon Yoo: School of Computing, Gachon University South Korea, Seongnam-si 13120, Republic of Korea
Uskenbayeva Raissa Kabievna: Department of Software Engineering, Satbayev University, Almaty 050000, Kazakhstan
Aiman Moldagulova: Department of Software Engineering, Satbayev University, Almaty 050000, Kazakhstan
Satybaldiyeva Ryskhan: Department of Cybersecurity, Information Processing and Storage, Satbayev University, Almaty 050000, Kazakhstan
Kalpeyeva Zhuldyz: Department of Software Engineering, Satbayev University, Almaty 050000, Kazakhstan
Aizhan Kassymova: Department of Software Engineering, Satbayev University, Almaty 050000, Kazakhstan

Logistics, 2024, vol. 8, issue 1, 1-30

Abstract: Background : The modern credit card system is critical, but it has not been fully examined to meet the unique financial needs of a constantly changing number of manufacturers and importers. Methods : An intelligent credit card system integrates the features of artificial intelligence and blockchain technology. The decentralized and unchangeable ledger of the Blockchain technology significantly reduces the risk of fraud while maintaining real-time transaction recording. On the other hand, the capabilities of AI-driven credit assessment algorithms enable more precise, effective, and customized credit choices that are specifically tailored to meet the unique financial profiles of manufacturers and importers. Results : Several metrics, including predictive credit risk, fraud detection, credit assessment accuracy, default rate comparison, loan approval rate comparison, and other important metrics affecting the credit card system, have been investigated to determine the effectiveness of modern credit card systems when using Blockchain technology and AI. Conclusion : The study of developing an intelligent scoring system for crediting manufacturers and importers of goods in Industry 4.0 can be enhanced by incorporating user adoption. The changing legislation and increasing security threats necessitate ongoing monitoring. Scalability difficulties can be handled by detailed planning that focuses on integration, data migration, and change management. The research may potentially increase operational efficiency in the manufacturing and importing industries.

Keywords: intelligent credit card system; blockchain integration; AI in finance; financial innovation; risk management; financial operations (search for similar items in EconPapers)
JEL-codes: L8 L80 L81 L86 L87 L9 L90 L91 L92 L93 L98 L99 M1 M10 M11 M16 M19 R4 R40 R41 R49 (search for similar items in EconPapers)
Date: 2024
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