MUMBAI, India, Sept. 14 -- Intellectual Property India has published a patent application (202641097843 A) filed by Dr. Tejavath Ramesh on August 13, 2026, for Ai-Enabled Enterprise Development And Market-Linkage System For First-Genaration Women Entrepreneurs.

Inventor includes Dr. Tejavath Ramesh.

The application for the patent was published on September 11, 2026, under issue no. 37/2026.

Abstract: The invention discloses an AI-enabled enterprise-development and market-linkage system for first-generation women entrepreneurs. A multilingual interface and data- acquisition layer receive text, voice, image, production, financial, inventory, location and market information. The system converts the inputs into structured enterprise variables, calculates Enterprise Readiness and Market-Fit Scores, identifies enterprise-development gaps, forecasts market demand, ranks suitable buyers and markets, and generates explainable recommendations relating to skills, finance, production, certification, branding, logistics and market access. An offline storage and synchronisation module enables operation in low-connectivity areas. Transaction outcomes, delivery performance, buyer responses, product returns, repeat purchases and enterprise revenue are processed by an adaptive learning engine to update The present invention discloses an AI-enabled enterprise-development and market- linkage system for first-generation women entrepreneurs. The system comprises a multilingual entrepreneur interface, enterprise-data acquisition module, data- processing engine, enterprise-readiness assessment engine, enterprise-gap identification module; market-demand forecasting engine, product—buyer matching engine, explainable recommendation engine, offline synchronisation module and adaptive learning. mechanism. The system receives text, voice, image, production, financial, inventory, 'geographical and market information and converts the information into structured enterprise variables. An Enterprise Readiness Score is generated to classify the enterprise and identify requirements relating to skills, finance, production, digital capability, compliance, branding and market access. A Market-Fit Score evaluates demand, product quality, price, production capacity, logistics feasibility and buyer reliability to rank appropriate ;market opportunities. The system generates personalised enterprise-development pathways and explainable market recommendations. Enterprise transactions, buyer responses and business outcomes are processed to continuously update subsequent recommendations. The invention enables data-driven enterprise development and improved market linkage in both connected and low-connectivity environments.

Disclaimer: Curated by HT Syndication.