MUMBAI, India, July 30 -- Intellectual Property India has published a patent application (202621069387 A) filed by Dr. Sunil Adhav; Dr. Sarfaraz Javed; Dr. Uvesh Husain; Ms. Snigdha Sidharth; Dr. Jaya Ganesan; Roshan Sukhdevrao Borde; Dr. Mokal Sushant Ramnath; and Dr. Sonal Sharma on June 03, 2026, for Predictive Economic Model For Cross-Border E-Commerce Risk Management.
Inventors include Dr. Sunil Adhav; Dr. Sarfaraz Javed; Dr. Uvesh Husain; Ms. Snigdha Sidharth; Dr. Jaya Ganesan; Roshan Sukhdevrao Borde; Dr. Mokal Sushant Ramnath; and Dr. Sonal Sharma.
The application for the patent was published on July 24, 2026, under issue no. 30/2026.
Abstract: Predictive Economic Model for Cross-Border E-Commerce Risk Management ABSTRACT The present invention relates to a predictive economic model for cross- border e-commerce risk management, designed to enhance decision-making, operational resilience, and financial performance for businesses engaged in international trade. The system integrates diverse data sources, including macroeconomic indicators, currency exchange rates, market trends, historical transactions, supply chain metrics, and regulatory information, and processes them through advanced machine learning algorithms and statistical models. By analyzing these datasets, the model forecasts potential financial, operational, and market risks, enabling proactive mitigation strategies. The invention features a scenario simulation module for evaluating the impact of economic, geopolitical, or operational events, and a risk scoring mechanism that quantifies the likelihood and severity of identified risks. Real-time updates and continuous learning ensure predictive accuracy as market conditions evolve. An interactive visualization interface provides actionable insights, trend analyses, and alerts to stakeholders, while integration with enterprise systems, including ERP, CRM, SCM, and financial platforms, allows automated adjustments and decision support. By providing a comprehensive, adaptive, and data-driven framework, the invention addresses the limitations of traditional reactive risk management approaches. It empowers businesses to anticipate disruptions, optimize cross-border operations, and minimize financial losses, representing a significant advancement in predictive risk management for global e-commerce.
Disclaimer: Curated by HT Syndication.
