Artificial Intelligence in Cooperative Credit Societies: Enhancing Loan Processing and Risk Assessment

This study explores the impact of Artificial Intelligence (AI) on loan processing and risk assessment in cooperative credit societies. The integration of AI can enhance the efficiency, accuracy, and transparency of loan management by automating credit scoring, fraud detection, and personalized financial recommendations. The study aims to assess how AI-driven technologies optimize decision-making processes and minimize financial risks for cooperative credit institutions. By analyzing secondary data and conducting case studies, the research highlights the advantages and challenges of AI adoption in cooperative credit societies. The findings indicate that AI improves operational efficiency, reduces non-performing assets, and enhances customer satisfaction. However, challenges like data security, infrastructure costs, and regulatory constraints remain significant.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-30
DOI
https://doi.org/10.5281/zenodo.15532904
Primary Topic
Financial Distress and Bankruptcy Prediction
Type
article
Field-Weighted Citation Impact
0.00
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article

Artificial Intelligence in Cooperative Credit Societies: Enhancing Loan Processing and Risk Assessment

Zenodo (CERN European Organization for Nuclear Research)
Financial Distress and Bankruptcy Prediction
article

Artificial Intelligence in Cooperative Credit Societies: Enhancing Loan Processing and Risk Assessment

article en

Abstract

This study explores the impact of Artificial Intelligence (AI) on loan processing and risk assessment in cooperative credit societies. The integration of AI can enhance the efficiency, accuracy, and transparency of loan management by automating credit scoring, fraud detection, and personalized financial recommendations. The study aims to assess how AI-driven technologies optimize decision-making processes and minimize financial risks for cooperative credit institutions. By analyzing secondary data and conducting case studies, the research highlights the advantages and challenges of AI adoption in cooperative credit societies. The findings indicate that AI improves operational efficiency, reduces non-performing assets, and enhances customer satisfaction. However, challenges like data security, infrastructure costs, and regulatory constraints remain significant.

Zenodo (CERN European Organization for Nuclear Research)
G.S. Science, Arts And Commerce College (IN)
Openalex Percentile: Top 42%
Financial Distress and Bankruptcy Prediction
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