AI-driven Credit Scoring System for Real-Time Credit Card Approval in Banking
The AI-driven Credit Scoring System for Real-Time Credit Card Approval in Banking is an advanced system that leverages the power of artificial intelligence (AI) algorithms to completely transform the credit card approval process within the banking industry. The innovative system automatizes and simplifies the old credit scoring methods, giving an accurate real-time approval for a credit card. It then processes this data, including the financial history and customers’ spending habits, along with credit, it scores in machine learning algorithms from which it would generate a unique credit score tailored to each applicant. That score is continually refreshed, so their decision can be made using the freshest information possible. The system processes an applicant’s risk profile. It identifies their creditworthiness using AI algorithms, eliminating manual review while reducing the time and resources needed to approve a credit card. This speeds up and improves the decision-making process for both bank staff and customers. Additionally, the AI-powered Credit Scoring System continues to learn and improve on new data so that banks can always provide up-to-date credit scoring to reflect market trends accurately. Additionally, for the banks — This technology not only enhances customer experience but also lowers trust risk (i.e. lower defaulting probability).
Authors
- J. Logeshwaran (ORCID: https://orcid.org/0000-0002-6779-6467)
- Pradeep Kumar Sharma (ORCID: https://orcid.org/0000-0002-7203-6219)
Institutions
- Christ University (IN)
Publication Details
- Published
- 2024-11-28
- DOI
- https://doi.org/10.1109/icaiccit64383.2024.10912352
- Citations
- 2
- Primary Topic
- FinTech, Crowdfunding, Digital Finance
- Type
- article
- Field-Weighted Citation Impact
- 1.06