MUMBAI, India, Aug. 17 -- Intellectual Property India has published a patent application (202511006325 A) filed by Ramesh Kasver; Suraj Singh; and Raghuveer Sakuru on January 25, 2025, for Zorfp-Qr (agentic Ai For Rfp/Tender Qualification And Generate Response).
Inventors include Ramesh Kasver; Suraj Singh; and Raghuveer Sakuru.
The application for the patent was published on August 14, 2026, under issue no. 33/2026.
Abstract: Abstract Patent : zoRFP-QR (Agentic AI for RFP/Tender Qualification and Generate Response) This invention introduces zoRFP-QR, an advanced Agentic AI- powered platform designed to transform the RFP (Request for Proposal) and tender qualification and response process. The system provides end-to-end automation, enabling organizations to efficiently determine qualification for RFPs, validate compliance with specified criteria, and generate tailored responses that align with global best practices and organizational capabilities. Key components of the system include: 1. Qualification Analysis Module: o Automatically extracts and analyzes qualification criteria from RFP documents using natural language processing (NLP). o Assesses eligibility against predefined metrics such as experience, certifications, financial thresholds, and technical capabilities. o Provides a real-time qualification score to indicate the likelihood of meeting the requirements. 2. Response Generation Engine: o Uses machine learning (ML) models to create detailed, compliant responses customized to the organization's product and service offerings. o Integrates historical response data, industry standards, and global best practices to enhance content precision and effectiveness. o Ensures alignment with regulatory and contractual obligations specific to the RFP’s origin. 3. Validation Framework: o Employs rule-based and adaptive AI models to ensure that the generated responses are accurate, consistent, and compliant. o Verifies alignment with the client's RFP specifications and legal/regulatory requirements, minimizing risks of rejection. 4. Continuous Learning and Optimization: o Features a feedback loop that leverages user inputs, prior outcomes, and AI-driven analytics to refine qualification criteria and response strategies over time. The platform also provides collaboration tools, seamless integration with procurement systems, and robust security features to ensure data confidentiality. Its ability to dynamically adapt responses to varied industries, including government, IT, telecommunications, and healthcare, makes zoRFP-QR a versatile and indispensable solution for RFP and tender management. By automating the qualification and response process, zoRFP-QR minimizes manual effort, reduces errors, and significantly increases the efficiency and success rate of RFP submissions, empowering organizations to remain competitive in complex procurement landscapes.
Disclaimer: Curated by HT Syndication.
