MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202611059233 A) filed by Dr. Nikhil Gupta; Dr. Sanjay Kumar Singh; Mr. Shobhit Kumar; Mr. Akshey Sharma; and Mr. Aayush Sharma on May 09, 2026, for Ai-Driven Marketing Accountability And Decision Intelligence System For Enterprise Resource Optimization.
Inventors include Dr. Nikhil Gupta; Dr. Sanjay Kumar Singh; Mr. Shobhit Kumar; Mr. Akshey Sharma; and Mr. Aayush Sharma.
The application for the patent was published on July 17, 2026, under issue no. 29/2026.
Abstract: An enterprise accountability and decision support system for an organization that incorporates financial analysis and marketing intelligence to evaluate the performance of the organization using a computer is disclosed. The system consists of a data acquisition module that functions as a hub for managing and collecting data in the system from various enterprise data sources such as operational data, financial data, customer, and marketing data. A processing engine that uses machine learning algorithms, predictive analytical models and statistical computation techniques to identify measurable relationships between marketing activities and organizational outcome. Additionally the framework has a financial accountability subsystem which is designed to assess the return-on-investment indicators, cost-efficiency metrics, profitability ratios, and resource-utilization parameters. A marketing analytics subsytem analyzes the effectiveness of the marketing campaign as well as the performance of the marketplace, customer engagement and the growth patterns to be considered strategically. The embeddedness of diversity of the outputs of these subsystems is seen within a single accountability mechanism that produces performance insights and strategic advice for stakeholders in the enterprise. The invention also provides a team-based decision support interface that supports concurrent access by finance professionals, marketing personnel and top management. Automated dashboard creation, real-time visualization, adaptive reporting, and predictive forecasting are supported by the interface. In one embodiment, the system also has predictive optimization module that is structured and arranged to determine operational inefficiencies, predict strategic outcomes, and suggest adjustments of allocation of resources. The invention can be implemented in cloud-based, hybrid and distributed computing systems and used in any number of different industry sectors such as technology, retail, healthcare, manufacturing and financial services to mention a few. The invention is directed to automating enterprises and intelligent enterprise analytics for better organizational transparency, accurate strategic planning, optimal investment decisions and strengthened accountability assessment using automated computational decision-support mechanisms.
Disclaimer: Curated by HT Syndication.
