MUMBAI, India, Oct. 5 -- Intellectual Property India has published a patent application (202611101585 A) filed by Manipal University Jaipur on August 21, 2026, for A Method And System For Ai-Driven Cross-Market Startup Success Pattern Mining And Opportunity Recommendation.
Inventors include Sankarshan Mishra; and Dr. Shweta Sharma.
The application for the patent was published on October 02, 2026, under issue no. 40/2026.
Abstract: The present invention relates to a method to identify potential transferable business models of successful enterprises from established economies to underdeveloped or undeveloped markets. The system comprise collecting and processing data from a plurality of heterogeneous sources, including business model characteristics, customer sentiment, pricing information, market conditions, and socio-economic indicators, to generate a Success Fingerprint associated with a successful enterprise. The Success Fingerprint is compared with characteristics of a selected target market to determine a transferability potential and market fit of the corresponding business model. Based on the comparison, the system identifies potential business opportunities and determines one or more localized adaptations for implementing the business model in the target market. The system further generates predicted performance metrics, risk assessments, and market-fit evaluations. The invention thereby provides a data-driven decision-support mechanism for entrepreneurs, investors, enterprises, and policy makers to efficiently evaluate and validate potential business model transfers while reducing the time and resources associated with conventional market research.
Disclaimer: Curated by HT Syndication.
