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.
Authors
- A. C. V. Subrahmanyam (ORCID: https://orcid.org/0000-0002-0786-8908)
- Sreenivasulu Puli (ORCID: https://orcid.org/0000-0001-8717-9389)
- Nagaraju Thota
- V N Vishweswarsastry
- Guruprasad Desai
Institutions
- Manipal Academy of Higher Education (IN)
- Birla Institute of Technology and Science - Hyderabad Campus (IN)
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