MUMBAI, India, Aug. 24 -- Intellectual Property India has published a patent application (202641098403 A) filed by Mepco Schlenk Engineering College; S Ramesh Babu; Dr. S. Ajith Kumar; and Dr. T. Manoj Kumar on August 14, 2026, for Ai-Driven Tourism Marketing Platform Using Machine Learning For Personalized Travel Recommendation.
Inventors include S Ramesh; Dr. S. Ajith Kumar; and Dr. T. Manoj Kumar.
The application for the patent was published on August 21, 2026, under issue no. 34/2026.
Abstract: The present invention relates to the development of an AI-driven tourism marketing platform that leverages machine learning to deliver highly personalized travel recommendations. By analysing multi-source data including user browsing behavior, historical preferences, and demographic profiles the platform employs collaborative filtering and natural language processing to predict optimal destinations and activities. Beyond enhancing the user experience through dynamic itineraries, the system empowers tourism marketers with predictive analytics to target high-intent customers, optimize pricing strategies, and improve campaign ROI. Preliminary testing indicates a significant increase in user engagement and booking conversion rates compared to traditional methods. Ultimately, this platform bridges the gap between traveler expectations and provider capabilities, fostering a more efficient, data-driven ecosystem. FIG.1
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