MUMBAI, India, June 22 -- Intellectual Property India has published a patent application (202641045561 A) filed by Vilasni. M; Hariharan S; Vignesh Mahadevan; and Mohamed Shakeel M S on April 09, 2026, for System And Methods For A Dedicated Hardware For Organizational Structure Optimization And Recursive Team Clustering.
Inventors include Vilasni. M; Hariharan S; Vignesh Mahadevanel; and Mohamed Shakeel M S.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: Abstract In many large-scale organizations, forming effective teams is often a manual process that relies heavily on a manager's personal observations or past experiences. This traditional approach frequently leads to biased, unbalanced, and inefficient team structures because it is difficult for individuals to fully understand the diverse characteristics and combined skills of every member in a massive workforce. There is a critical need for an automated, data-driven system that can handle the complexity of modem organizations and ensure that human resources are utilized to their full potential. This product addresses these limitations by utilizing machine learning to create objective, meaningful, and highly efficient team structures. The system functions by taking structured organizational data and putting it through a rigorous preprocessing phase, which includes cleaning, encoding, and normalization to ensure the information is ready for analysis. At its core, the product employs a divisive hierarchical clustering algorithm that treats each member as a set of numerical attributes and calculates the distance or similarity between them. By recursively splitting the main group into subgroups, the system generates balanced teams with high internal similarity and clear separation. The utility of this approach is further enhanced by providing a visual dendrogram, allowing managers to easily understand the organizational hierarchy and team assignments. Ultimately, this provides a scalable, unbiased solution that improves overall performance and collaboration across various industries..
Disclaimer: Curated by HT Syndication.
