AI-Powered Smart Hotel Booking System
The hospitality industry is experiencing rapid growth, with travelers seeking faster, more personalized booking
experiences. Traditional hotel reservation systems often lack intelligence and personalization, resulting in
suboptimal room matching, missed upselling opportunities, and poor customer retention.
To address these limitations, the proposed solution is the development of an AI-Powered Smart Hotel
Booking System. This system leverages artificial intelligence to provide personalized room recommendations,
dynamic pricing, AI chatbot assistance, and intelligent demand forecasting. The system automatically analyzes
customer preferences, historical booking data, and real-time occupancy to maximize both guest satisfaction
and hotel revenue.
When a guest visits the platform, the AI recommendation engine analyzes their profile, past stays, and
preferences to suggest the most suitable room types and packages. The AI chatbot handles inquiries in natural
language, guides guests through the booking process, and provides 24/7 support. Guests can complete
bookings, apply loyalty points, and receive instant confirmation with AI-generated personalized offers.
Once a booking is confirmed, the system triggers automated workflows: housekeeping preparation schedules,
check-in notifications, and upsell recommendations (spa, dining, late check-out). The AI demand forecasting
module adjusts room pricing dynamically based on predicted occupancy, competitor pricing data, and seasonal
trends. Upon guest checkout, the system collects feedback and updates the AI model to improve future
recommendations.
Hotel staff use a management dashboard to monitor bookings, view AI-generated occupancy forecasts, manage
room inventory, and review system-flagged anomalies (e.g., suspicious payment patterns detected by the fraud
detection module). The system administrator manages user accounts, configures AI model parameters, and
maintains integration with third-party payment gateways and travel APIs.
IMPORTANT NOTES
. All answers must be written in the provided template file, in English, and must reflect this exam
You must use Visual Paradigm or Drawio (all offline) to draw diagrams.
. Use Windows + Shift + S to capture diagram images and Ctrl + V to paste them into the answer
template.
. Any answers containing unrelated content will receive ZERO points.
. Failure to use the provided template file will result in ZERO points.
Question 1 (0.5 point)
Complete all parts of the first page of the Software Requirements Specification (SRS) template provided
to you, based on the system described in this exam paper.
Question 2 (2.5 points)
Draw a Context Diagram to describe the scope of the AI-Powered Smart Hotel Booking System described in
this exam paper. Clearly identify external actors and their interactions with the system.
Question 3 (4.0 points)
Based on your answer in Question 2, draw a Use Case Diagram for the system. Briefly describe all actors
and use cases in the provided template.
Question 4 (3.0 points)
Based on your answers in Question 2 and Question 3, draw a Swimlane Activity Diagram that illustrates
the end-to-end AI-Assisted Booking Process - from a guest searching for a room through AI
recommendation, booking confirmation, automated notification, to staff preparation. The diagram must
include at least three swimlanes (e.g., Guest, AI System, Hotel Staff) and clearly show decision points, parallel
activities, and system-triggered actions. Briefly describe each lane's responsibilities in the provided template.

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