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AI-Driven Cloud Platform for Personalized E-Commerce Experiences and Real-Time Financial Transactions
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Abstract
Information
Inventors
Applicants
Specification
Documents
ORDINARY APPLICATION
Published
Filed on 13 November 2024
Abstract
The present invention relates to a cloud-based platform that leverages artificial intelligence (AI) to deliver personalized e-commerce experiences and secure, real-time financial transactions. The platform incorporates a multi-module architecture designed to enhance user engagement and streamline transaction processes. It includes a User Profiling Module that captures and analyzes user behavior to deliver dynamic, tailored content and recommendations. A Recommendation Engine employs collaborative and content-based filtering algorithms to provide product suggestions that adapt in real-time to changing user preferences. Additionally, an Inventory Management System uses predictive analytics to forecast demand, optimize stock levels, and improve logistics. The platform further incorporates a Real-Time Financial Transaction Module, integrating AI-driven fraud detection and multi-layered security protocols to enable rapid, secure payment processing.
Patent Information
Application ID | 202441087506 |
Invention Field | COMPUTER SCIENCE |
Date of Application | 13/11/2024 |
Publication Number | 47/2024 |
Inventors
Name | Address | Country | Nationality |
---|---|---|---|
Mr. Dharma Teja Valivarthi, Tek Leaders, Texas, USA | Tek Leaders, Texas, USA | India | India |
Mr. Sreekar Peddi, Tek Leaders, Texas, USA | Tek Leaders, Texas, USA | India | India |
Ms.Swapna Narla, Tek Yantra Inc, California, USA | Tek Yantra Inc, California, USA | India | India |
Mr.Sai Sathish Kethu, NeuraFlash, Georgia, USA | NeuraFlash, Georgia, USA | India | India |
Mr.Durai Rajesh Natarajan, Estrada Consulting Inc, California, USA | Estrada Consulting Inc, California, USA | India | India |
Dr. Purandhar. N, Madanapalle Institute of Technology and Science | Assistant Professor, Department of CSE(Artificial Intelligence), School of Computers, Madanapalle Institute of Technology and Science, Madanapalle College code - 69 Andhra Pradesh - 517325, India | India | India |
Applicants
Name | Address | Country | Nationality |
---|---|---|---|
Mr. Dharma Teja Valivarthi, Tek Leaders, Texas, USA | Tek Leaders, Texas, USA | U.S.A. | India |
Mr. Sreekar Peddi, Tek Leaders, Texas, USA | Tek Leaders, Texas, USA | U.S.A. | India |
Ms.Swapna Narla, Tek Yantra Inc, California, USA | Tek Yantra Inc, California, USA | U.S.A. | India |
Mr.Sai Sathish Kethu, NeuraFlash, Georgia, USA | NeuraFlash, Georgia, USA | U.S.A. | India |
Mr.Durai Rajesh Natarajan, Estrada Consulting Inc, California, USA | Estrada Consulting Inc, California, USA | U.S.A. | India |
Dr. Purandhar. N, Madanapalle Institute of Technology and Science | Assistant Professor, Department of CSE(Artificial Intelligence), School of Computers, Madanapalle Institute of Technology and Science, Madanapalle College code - 69 Andhra Pradesh - 517325, India | India | India |
Specification
Description:The present invention relates to a cloud-based platform that leverages artificial intelligence (AI) to deliver personalized e-commerce experiences and secure, real-time financial transactions. The platform incorporates a multi-module architecture designed to enhance user engagement and streamline transaction processes. It includes a User Profiling Module that captures and analyzes user behavior to deliver dynamic, tailored content and recommendations. A Recommendation Engine employs collaborative and content-based filtering algorithms to provide product suggestions that adapt in real-time to changing user preferences. Additionally, an Inventory Management System uses predictive analytics to forecast demand, optimize stock levels, and improve logistics. The platform further incorporates a Real-Time Financial Transaction Module, integrating AI-driven fraud detection and multi-layered security protocols to enable rapid, secure payment processing. , C , Claims:1. A cloud-based AI-driven platform for personalized e-commerce experiences, comprising:
o A user profiling module that continuously collects and processes user data.
o A recommendation engine that utilizes collaborative and content-based filtering to provide tailored suggestions.
o An inventory management system with predictive analytics to optimize stock based on forecasted demand.
o A real-time financial transaction module with integrated fraud detection capabilities.
2. The platform of claim 1, wherein the recommendation engine adaptively updates based on real-time user activity.
3. The platform of claim 1, wherein the AI/ML engine utilizes natural language processing, collaborative filtering, and deep learning for analyzing customer data.
4. The platform of claim 1, wherein the real-time financial transaction module includes payment gateway integration, real-time payment processing, and transaction risk management.
5. The platform of claim 2, wherein the inventory management system communicates with external logistics systems to streamline order fulfillment and delivery.
6. The platform of claim 3, wherein the financial transaction module integrates with AI-based fraud detection, providing additional security layers.
7. A method for operating an AI-driven platform comprising:
o Collecting and analyzing user data to generate personalized experiences.
o Using ML algorithms to forecast product demand and optimize inventory.
o Facilitating real-time financial transactions with fraud detection.
This invention can be applied to various e-commerce businesses, online retail, and digital marketplaces that require personalized customer engagement and secure, real-time transactions.
Documents
Name | Date |
---|---|
202441087506-COMPLETE SPECIFICATION [13-11-2024(online)].pdf | 13/11/2024 |
202441087506-DECLARATION OF INVENTORSHIP (FORM 5) [13-11-2024(online)].pdf | 13/11/2024 |
202441087506-DRAWINGS [13-11-2024(online)].pdf | 13/11/2024 |
202441087506-FORM 1 [13-11-2024(online)].pdf | 13/11/2024 |
202441087506-FORM-9 [13-11-2024(online)].pdf | 13/11/2024 |
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