AI-DRIVEN DYNAMIC UPSELL IN HOTEL RESERVATION SYSTEMS BASED ON CYBERSECURITY RISK SCORES

Authors

  • Deepak Kaul USA Author

Keywords:

Hotel Reservation Systems, Cybersecurity, AI-Driven Upselling, Dynamic Offers, Cybersecurity Risk Scores, Identity-Theft Protection, Secure Payments, Ransomware.

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.

References

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Published

2021-12-30