MUMBAI, India, Oct. 12 -- Intellectual Property India has published a patent application (202641119077 A) filed by Rathinam Global Deemed To Be University on October 05, 2026, for Cloud-Based E-Commerce Platform With Intelligent Engineering Product Configuration And Optimization.
Inventors include Dr. G. Kowsalya; Dr. B. Bushara; Ms. P. Girija; Ms. V. Priyanka; Mr. P. Sasikumar; Mrs. K. Jaya Sowmiya; Dr. K. P. V Sabareesh; Ms. A. Shobika; Dr. T. M. Hemalatha; Dr Krishnaraj C; Dr. M. Sivaramkrishnan; Dr. G. Arutgeevitha; Dr. B. Geethpriya; and Ms. G. Revathi.
The application for the patent was published on October 09, 2026, under issue no. 41/2026.
Abstract: Cloud-Based E-Commerce Platform with Intelligent Engineering Product Configuration and Optimization Abstract: The current invention pertains to a cloud-centric e- commerce platform designed to provide intelligent configuration, validation, customisation, and optimisation of engineering products within a cohesive digital framework. The platform acquires customer or engineering specifications via an online interface and analyses these requirements utilising product specifications, engineering guidelines, compatibility parameters, manufacturing limitations, inventory data, pricing details, and additional product information housed in a cloud-based repository. A machine-learning system evaluates the specifications and determines one or several technically feasible product designs. The engine is capable of identifying incompatible selections, suggesting compatible components, computing configuration parameters, recognising alternative components, enhancing product performance, and producing a configuration appropriate for manufacturing, quoting, procurement, or ordering. The platform might assess several configurations based on objectives set by the user or the system, such as cost, performance, weight, energy usage, availability, delivery duration, dependability, and manufacturing limitations. A rules and constraints engine can validate the AI-generated configuration against technical specifications, safety thresholds, size limitations, electrical or mechanical compatibility, and supplier restrictions. The platform can actively retrieve inventory and pricing data from suppliers or integrated business systems and adjust the suggested configuration based on availability and delivery time. A confirmed configuration can be provided to the client alongside technical specifications, chosen components, projected pricing, availability, delivery details, and an electronic quotation or ordering option. The platform might additionally produce configuration data, bills of materials, technical documentation, or manufacturing directives. Customer feedback regarding selections, finalised orders, technical alterations, and actual product efficacy may be utilised to enhance future recommendations. Consequently, the innovation offers a cloud-centric intelligent e-commerce ecosystem that integrates engineering product configuration, AI-driven optimisation, technical validation, supplier data, and online purchasing into a cohesive platform.
Disclaimer: Curated by HT Syndication.
