https://iaeme.com/Home/journal/IJCET 114 editor@iaeme.com International Journal of Computer Engineering and Technology (IJCET) Volume 12, Issue 3, September-December 2021, pp. 114-125, Article ID: IJCET_12_03_013 Available online at https://iaeme.com/Home/issue/IJCET?Volume=12&Issue=3 ISSN Print: 0976-6367 and ISSN Online: 0976–6375 Impact Factor (2021): 17.25 (Based on Google Scholar citation) © IAEME Publication AI-DRIVEN DYNAMIC UPSELL IN HOTEL RESERVATION SYSTEMS BASED ON CYBERSECURITY RISK SCORES Deepak Kaul USA ORCID: 0009-0005-7058-0607 ABSTRACT In the era of digital transformation, hotels and travel companies are increasingly targeted by cybersecurity threats such as phishing attacks, data breaches, and ransomware. These threats compromise the integrity of booking systems and customer data. This paper proposes a novel approach to dynamic upselling in hotel reservation systems by leveraging AI to assess real-time cybersecurity risk scores of customer accounts. Based on the risk assessment, the system will offer upsell options such as identity theft insurance, secure payment options, and other security-related add-ons, ensuring customers’ peace of mind while capitalizing on business opportunities. The key contribution of this research lies in integrating AI-based cybersecurity analysis with dynamic upselling strategies, which is underexplored in current literature. We conduct a comprehensive review of the interplay between AI-driven cybersecurity and upselling in digital commerce, proposing a model that responds to real-time risks to safeguard customer data while enhancing revenue. Keywords: Hotel Reservation Systems, Cybersecurity, AI-Driven Upselling, Dynamic Offers, Cybersecurity Risk Scores, Identity-Theft Protection, Secure Payments, Ransomware. Cite this Article: Deepak Kaul, AI-Driven Dynamic Upsell in Hotel Reservation Systems Based on Cybersecurity Risk Scores, International Journal of Computer Engineering and Technology (IJCET) 12(3), 2021, pp. 114-125. https://iaeme.com/Home/issue/IJCET?Volume=12&Issue=3