Transforming Online Booking Experiences with AI, Data, and Design
Capabilities
Challenges
Outdated Booking Interface
Guests required a smooth, intuitive platform to book vacations and time-share programs without unnecessary hurdles or slow load times.
Inefficient System Integration
Multiple reservation systems and internal databases needed a unified interface to provide users with accurate availability and pricing in real time.
Limited Personalization Features
A lack of AI-driven recommendations and dynamic pricing prevented the platform from offering customized booking experiences.
Slow and Unresponsive System
Travelers demanded a fast, responsive platform that worked seamlessly across devices and browsers, elevating their overall booking experience.
Approach
Redefining the Guest Journey with a Modern, Unified Booking Experience
Applaudo redesigned a global hotel chain’s booking platform with a mobile-first, user-centric approach. We streamlined the reservation process, reducing the number of steps required for booking. AI-driven personalization was introduced, allowing for tailored room recommendations and real-time pricing adjustments based on demand and availability.
To ensure operational efficiency, we modernized the backend infrastructure, enhancing system performance and integrating the platform with third-party services, including payment gateways, CRM systems, and loyalty programs. Through nearshore staff augmentation, we accelerated the implementation of new features while maintaining platform stability.
Results
Enhanced Guest Loyalty Through AI Personalization
Improved guest engagement with AI-driven personalization, leading to a 40% increase in repeat bookings by offering tailored recommendations and exclusive loyalty incentives.
Higher RevPAR with Dynamic Pricing Optimization
Optimized room rates in real-time using dynamic pricing powered by AI, increasing in revenue per room while maintaining competitive pricing.
Improved Operational Efficiency
Streamlined staffing, service requests, and booking management with AI-automated workflows, resulting in a 30% increase in operational efficiency and reduced manual workload.