Hospitality6 weeks
Dynamic AI Concierge & Revenue Manager
Client: The Grand Heritage
Personalize guest journeys and dynamically optimize room/service pricing in real time.
The Challenge
The Grand Heritage needed to personalize the guest journey from booking to checkout and optimize pricing for rooms and services in real-time. The challenge was to improve guest satisfaction while maximizing revenue per available room (RevPAR).
Key Challenges:
- Personalize guest journey from booking to checkout
- Optimize pricing for rooms and services in real-time
- Increase guest satisfaction scores
- Maximize revenue per available room (RevPAR)
Without personalization and dynamic pricing, the hotel faced low guest satisfaction, suboptimal revenue, inability to compete with modern hospitality platforms, and missed opportunities for upselling.
Our Solution
- Integrated NLP chatbot for personalized recommendations and service handling
- Reinforcement learning engine dynamically adjusting room rates
- Real-time demand analysis informing pricing decisions
- Personalized package deals based on guest preferences
- Automated service recommendations enhancing guest experience
- Dynamic pricing optimization maximizing revenue while maintaining competitiveness
Technology Stack
Rasa/BotpressHugging FaceReinforcement LearningPostgreSQLRedis
Client Testimonial
"Guest satisfaction up 50% and RevPAR increased by 22%."
— Hotel Manager, The Grand Heritage