MUMBAI, India, Oct. 26 -- Intellectual Property India has published a patent application (202641123271 A) filed by Mr. Vaibhav Gupta; Dr. Lalita Babulal Malusare; Dr. Viji. R; Dr. V. O. Kavitha; Dr. Satendar Singh; Dr. Monalisa Pattanayak; Dr. Renuka Viswanathan; Dr. D. Jayakkodi; Dr. P. Gnana Soundhari; Prof. Dr. Parul Goyal; Dr. R. Indra; and Dr. A. Rameeza on October 14, 2026, for An Analytical Study Of Ai In Digital Marketing Strategies For E-Commerce Business.
Inventors include Mr. Vaibhav Gupta; Dr. Lalita Babulal Malusare; Dr. Viji. R; Dr. V. O. Kavitha; Dr. Satendar Singh; Dr. Monalisa Pattanayak; Dr. Renuka Viswanathan; Dr. D. Jayakkodi; Dr. P. Gnana Soundhari; Prof. Dr. Parul Goyal; Dr. R. Indra; and Dr. A. Rameeza.
The application for the patent was published on October 23, 2026, under issue no. 43/2026.
Abstract: ABSTRACT An Analytical Study of AI in Digital Marketing Strategies for E-Commerce Business The rapid growth of e-commerce business has increased the importance of effective digital marketing strategies. E-commerce businesses generate large amounts of customer information through website visits, product searches, product views, clicks, purchases, reviews, and social media interactions. However, traditional marketing methods may not be able to analyse all these data sources quickly or provide personalized marketing strategies for different customers. To address these problems, this innovation proposes an AI-Based Analytical Framework for Digital Marketing Strategies for E-Commerce Business. The proposed system combines artificial intelligence, customer data analysis, customer behaviour analysis, customer segmentation, personalized marketing, product recommendation, predictive analysis, campaign management, and marketing performance monitoring. The system can analyse customer activities and identify customer interests, purchasing patterns, and interaction behaviour. Based on the analysed information, suitable marketing strategies can be generated for different customer groups. The proposed system contains six major modules: customer and e-commerce information, AI-based customer analysis, marketing strategy generation, digital campaign execution, marketing performance tracking, and continuous optimization. This innovation aims to improve customer engagement, support personalized marketing, improve campaign management, reduce unnecessary marketing activities, and help e-commerce businesses make data-driven marketing decisions.
Disclaimer: Curated by HT Syndication.
