AI-Driven Booking Management: Forecasting, Prediction and Property Recommendations
Author : Dr. Krishnaveni Sakkarapani, Devi D and Kiruthika R
Abstract :
This paper intends to enhance booking projections and customised recommendations in the hotel industry by use of historical data from 2022 to 2024. Bookings for 2025 are projected using the Prophet model, providing confidence intervals for exact demand estimates. Moreover, suggested properties using a collaborative filtering approach utilizing Singular Value Decomposition (SVD), based on booking trends, local preferences, and prior user activity. Although a Java-based UI shows predicted booking data and recommendations, the Python backend guarantees perfect communication with machine learning models. Including these prediction and suggestion technologies into the booking tool will enable the business to maximize resource allocation, improve decision-making, and increase customer satisfaction by means of sharpening of these aspects.
Keywords :
Booking, recommendations, prophet model, singular value decomposition (SVD).
