Predicting Bankruptcy in Wholesale, Retail, and Motor Vehicle Repair: An AI-ML Perspective

The study concludes that AI-ML models are highly effective for bankruptcy prediction in India's trade services sector. For stakeholders like investors and creditors, the key takeaway is the superior value of a segmented analytical approach. This strategy maintains high predictive accuracy while revealing nuanced, specific risks. Ultimately, it provides a powerful, tailored tool for safeguarding financial interests in an emerging market context.

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Publication Details

Journal
F1000Research
Published
2026-01-13
DOI
https://doi.org/10.12688/f1000research.170279.2
Primary Topic
Financial Distress and Bankruptcy Prediction
Type
article
Field-Weighted Citation Impact
0.00
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article

Predicting Bankruptcy in Wholesale, Retail, and Motor Vehicle Repair: An AI-ML Perspective

A. C. V. Subrahmanyam, Sreenivasulu Puli, Nagaraju Thota, V N Vishweswarsastry et al.
F1000Research
Financial Distress and Bankruptcy Prediction
article

Predicting Bankruptcy in Wholesale, Retail, and Motor Vehicle Repair: An AI-ML Perspective

A. C. V. Subrahmanyam, Sreenivasulu Puli, Nagaraju Thota, V N Vishweswarsastry, Guruprasad Desai
article en

Abstract

The study concludes that AI-ML models are highly effective for bankruptcy prediction in India's trade services sector. For stakeholders like investors and creditors, the key takeaway is the superior value of a segmented analytical approach. This strategy maintains high predictive accuracy while revealing nuanced, specific risks. Ultimately, it provides a powerful, tailored tool for safeguarding financial interests in an emerging market context.

F1000ResearchVol. 14
Manipal Academy of Higher Education (IN), Birla Institute of Technology and Science - Hyderabad Campus (IN)
Partnerships for the goals
Openalex Percentile: Top 79%
Financial Distress and Bankruptcy Prediction
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