Playtech Intelligent Booking System using VR and Chatbots

Abstract

This project introduces a web-based application designed to revolutionize turf booking through AI technology. Users can view and book available turfs in real-time, regardless of location or type of turf, and receive personalized recommendations based on their preferences and historical data. The system incorporates dynamic pricing algorithms and predictive analytics to optimize turf usage and maximize revenue. Upon selecting a turf, the application leverages AI to provide suggestions for the best time slots based on usage patterns and demand forecasts. The system also includes a feature to predict and manage cancellations, ensuring optimal resource utilization. This project\'s implementation of AI technology offers unparalleled advantages, particularly in enhancing user satisfaction and resource management. By leveraging AI\'s capabilities in predictive analytics and real-time updates, the application provides users with a reliable and efficient turf booking solution. The demo link showcases the application\'s functionality, highlighting its seamless user experience and advanced AI features. In conclusion, this project demonstrates the transformative potential of AI in turf booking, offering an intelligent, scalable, and efficient platform for users to book and manage turfs without concerns of scheduling conflicts or suboptimal usage.

Introduction

Overview:
The project introduces a smart booking and activity monitoring system that integrates Virtual Reality (VR) and AI-powered chatbots to enhance user experience, reduce cognitive overload, and streamline digital activity and service bookings.

Key Features & Technologies:

• VR Integration: Allows users to virtually explore venues (e.g., hotel rooms, sports turfs) before booking, offering immersive previews.

• AI Chatbots: Provide real-time support, answer user queries, and guide them through the booking process.

• Personalized Recommendations: Use AI to analyze user behavior and preferences, delivering tailored booking suggestions.

• Automation: Reduces human intervention by automating routine tasks like confirmations, cancellations, and updates.

• Real-Time Monitoring: Tracks and interprets user digital activities through screenshots, metadata, and contextual analysis, improving productivity and data retrieval.

Literature Review Highlights:

• Manual Booking Limitations: Previous systems (e.g., Futsal Court, Ground Booking, Pura Kencana Sports Centre) suffered from inefficiencies, duplicate data, and manual errors.

• Web and App-Based Solutions: Earlier research focused on mobile/web systems to replace manual booking with basic automation but lacked immersive or intelligent features.

System Architecture & Implementation:

• Three-Tier Architecture:

  • Frontend: Built with React.js for user interface.

  • Backend: Node.js and Express.js handle logic and AI integrations.

  • Database: MongoDB stores user data, bookings, and dynamic pricing info.

• Core Capabilities:

  • Real-time turf availability.

  • Predictive analytics for usage optimization.

  • Dynamic pricing to balance demand and maximize revenue.

  • Seamless user flow from login to payment and notifications.

System Requirements:

• High Performance: Fast response for VR, chatbot, and booking tasks.

• Scalability & Reliability: Cloud-based infrastructure with failover, caching, and load balancing.

• Data Privacy & Security: Strong emphasis on securing user data and transactions.

Results:

• The system consolidates multi-source user activity data (text, images, videos) into structured documents enriched with metadata.

• The use of Retrieval-Augmented Generation (RAG) improves search relevance and information access, reducing cognitive load and increasing efficiency.

Limitations:

• High Infrastructure Demands: Requires robust hardware and computing power.

• Data Dependency: AI performance drops with limited historical user data.

• User Resistance: Dynamic pricing may be unpopular with users who prefer fixed rates.

• Connectivity Issues: Functionality relies heavily on stable internet.

• Privacy Concerns: Continuous updates are required to ensure data protection.

Future Enhancements:

1. Blockchain for Secure Payments

2. AI-Powered Maintenance Alerts for turf owners

3. Advanced Analytics Dashboards for insights

4. Multi-language Support

5. Tournament Scheduling Features

6. Offline Mode for limited connectivity environments

Conclusion

The Playtech Intelligent Booking System utilizing VR and chatbots offers an innovative, user-centric solution for enhancing the booking experience. By integrating immersive virtual reality tours, AI-driven chatbots, and automated processes, the system improves decision-making, streamlines customer support, and personalizes user interactions. This project is technically viable with current technologies, economically promising with long-term ROI, and operationally scalable to meet growing user demand. These features aim to enhance the booking experience, increase efficiency, and provide personalized, user-centric services. The system is technically feasible, scalable, and economically viable, with a promising return on investment through improved engagement, higher booking rates, and cost-saving automation. While there are challenges such as initial investment in technology and user adoption, the long-term benefits make this an innovative and practical solution for modern booking platforms. With proper implementation and adherence to data privacy and security regulations, the system can offer a seamless, user-centric, and efficient booking experience.

References

[1] Ahmad Nalm Shafiq Suhani, Mohd Zanes Sahid, “A Development of Futsal Court Booking System” 2023. [2] Dinesh A. Pol, Piyush V. Patil, Rahul Shinde, Rohan Dange, “Online Ground Booking System using Android Mobile Application” 2022. [3] Zarif Nor Alman Jafridin, Mohamad Aizi Salmat, “Pura Kencana Sports Centre Management System” 2023. [4] AISHA SAIF AMUR AL JAHDHAMI SAMIHA NAJAH . “AI-Based Hall Reservation System”.2022. [5] Rahmani, Nasrin & Nasab, Mahdi & Taheri, Morteza & Biniaz, Seyyed. (2024). The Future of Sports Industry: AI and Economic Transformations. AI and Tech in Behavioral and Social Sciences.

Copyright

Copyright © 2025 Abhishek Murugan, Yash Bhingarde, Shashikanth Ghughe, Kalpana Mane. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.