Regenta Rewards — Hotel Booking Engine with AI Chatbot
Challenge
Regenta, a fast-growing hospitality brand, needed a unified booking experience for its loyalty program, Regenta Rewards. Guests were booking across scattered channels with no centralized engine, and the support team was overwhelmed by repetitive queries about availability, loyalty points, offers, and booking changes. Response times lagged especially after hours causing drop-offs and lost direct bookings. The brand wanted to reduce dependence on third-party travel agents, grow direct bookings, and give members instant 24/7 assistance without expanding headcount. They needed a scalable booking engine paired with an intelligent assistant that could understand natural-language guest queries and guide them to a confirmed booking.
Regenta, a fast-growing hospitality brand, needed a unified booking experience for its loyalty program, Regenta Rewards. Guests were booking across scattered channels with no centralized engine, and the support team was overwhelmed by repetitive queries about availability, loyalty points, offers, and booking changes. Response times lagged especially after hours causing drop-offs and lost direct bookings. The brand wanted to reduce dependence on third-party travel agents, grow direct bookings, and give members instant 24/7 assistance without expanding headcount. They needed a scalable booking engine paired with an intelligent assistant that could understand natural-language guest queries and guide them to a confirmed booking.
Solution
XongoLab designed and built a custom hotel booking engine integrated with an AI-powered chatbot for the Regenta Rewards program. The engine handles real-time room availability, dynamic pricing, loyalty-point redemption, and secure payments across web and mobile. The AI chatbot — built on a large language model with a retrieval layer over Regenta's property and policy data — answers guest questions in natural language (room options, offers, cancellation policies, points balance) and can complete or modify bookings within the chat. We integrated it with the property management and loyalty systems so every response is accurate and personalized, with seamless escalation to human agents for complex cases. The solution combined a modern web front end, a scalable cloud back end, and an NLP/chatbot layer, plus analytics to track conversion and query resolution.
XongoLab designed and built a custom hotel booking engine integrated with an AI-powered chatbot for the Regenta Rewards program. The engine handles real-time room availability, dynamic pricing, loyalty-point redemption, and secure payments across web and mobile. The AI chatbot — built on a large language model with a retrieval layer over Regenta's property and policy data — answers guest questions in natural language (room options, offers, cancellation policies, points balance) and can complete or modify bookings within the chat. We integrated it with the property management and loyalty systems so every response is accurate and personalized, with seamless escalation to human agents for complex cases. The solution combined a modern web front end, a scalable cloud back end, and an NLP/chatbot layer, plus analytics to track conversion and query resolution.
Results
The integrated booking engine and AI chatbot gave Regenta Rewards members a single, 24/7 channel to discover offers, redeem points, and book directly. The chatbot now resolves a large share of routine guest queries automatically, easing the support team's load and delivering instant answers outside business hours. Early outcomes include faster query resolution, stronger loyalty-program engagement, and a shift toward direct bookings that lowers third-party commission costs. [Add real metrics: e.g. % of queries auto-resolved, increase in direct bookings, reduction in average response time.] The platform scales across Regenta's growing property portfolio and gives the team analytics to keep improving conversion and guest experience.
The integrated booking engine and AI chatbot gave Regenta Rewards members a single, 24/7 channel to discover offers, redeem points, and book directly. The chatbot now resolves a large share of routine guest queries automatically, easing the support team's load and delivering instant answers outside business hours. Early outcomes include faster query resolution, stronger loyalty-program engagement, and a shift toward direct bookings that lowers third-party commission costs. [Add real metrics: e.g. % of queries auto-resolved, increase in direct bookings, reduction in average response time.] The platform scales across Regenta's growing property portfolio and gives the team analytics to keep improving conversion and guest experience.
