MUMBAI, India, June 30 -- Intellectual Property India has published a patent application (202641072936 A) filed by Saveetha Institute Of Medical And Technical Sciences on June 12, 2026, for A System And Method For Behavioral Creditworthiness Assessment Using Non-Financial Data Through Artifiial Intelligence And Predictive Analytics.
Inventors include Riniadiyattil; Lavaraju Bendalam; and Deepak Nallaswamy Veeraiyan.
The application for the patent was published on June 26, 2026, under issue no. 26/2026.
Abstract: The present invention discloses a system and method for assessing creditworthiness using non-financial behavioral data through artificial intelligence and predictive analytics. The system is designed to evaluate individuals who lack traditional financial records by analyzing alternative data sources such as mobile usage patterns, digital transactions, application activity, and user interaction behavior. The collected data is processed using machine learning algorithms to identify behavioral patterns, detect anomalies, and evaluate consistency in financial-related activities. Based on the analysis, a dynamic credit score is generated to represent the user’s financial reliability and repayment capability. The system further incorporates predictive analytics models to forecast future financial behavior and estimate the probability of default, enabling proactive risk assessment. A decision support mechanism assists financial institutions in making informed lending decisions, including loan approvals and credit limit allocation. Additionally, the system includes a continuous learning module that updates analytical models using historical data and real-time inputs, thereby improving accuracy and adaptability over time. The invention enhances financial inclusion, reduces credit risk, and provides a scalable solution for modem credit evaluation systems.
Disclaimer: Curated by HT Syndication.
