MUMBAI, India, Sept. 28 -- Intellectual Property India has published a patent application (202641112015 A) filed by Dr. K. Naveen Kumar; and Ms. Swapna Salla on September 18, 2026, for Ai-Enabled System And Method For Automated Pre- And Post-Merger Financial Performance Assessment And Synergy Prediction.
Inventors include Dr. K. Naveen Kumar; and Ms. Swapna Salla.
The application for the patent was published on September 25, 2026, under issue no. 39/2026.
Abstract: 1 Abstract: The present invention relates to a computer-implemented, artificial intelligence-enabled system and method for automated pre- and post-merger financial performance assessment and synergy prediction. The system is configured to acquire authorized financial and operational data of an acquiring organization and a target organization, normalize the acquired data into a common financial representation, and establish respective pre-merger financial baselines. A Combined Financial State Generator generates a simulated combined financial state without incorporating synergy assumptions, thereby providing a reference state for subsequent analysis. A Synergy Scenario Prediction Engine generates multiple potential synergy scenarios associated with revenue growth, operating-cost reduction, procurement, technology integration, workforce optimization and capital efficiency. An Integration Cost Engine separately estimates costs associated with implementing the merger and calculates a predicted net financial benefit based on projected synergies and integration costs. Following completion of the transaction, a Post-Merger Financial Monitoring Engine periodically receives realized financial data and compares actual performance with the pre-merger baseline, simulated combined state and predicted synergy pathway. A Synergy Attribution Engine computationally distinguishes merger-related financial changes from changes attributable to external or non-merger factors, while a Deviation Analysis Engine identifies differences between predicted and realized financial outcomes. A Prediction Feedback Engine utilizes the resulting deviation and attribution information to recalibrate subsequent financial and synergy predictions. The system thereby provides a continuous closed-loop financial assessment architecture extending from pre-merger analysis through post-merger performance monitoring, synergy attribution and prediction recalibration.
Disclaimer: Curated by HT Syndication.
