AI-Based Manpower Demand-Supply Analysis in Udaipur's Hotel Industry

Arpita Modi , Dr. Ashok kumar Jetawat

Artificial Intelligence (AI), Manpower Forecasting, Hospitality Industry, Hotel Sector, Demand–Supply Analysis, Human Resource Management, Udaipur Region, LSTM Neural Network, Workforce Planning, Recruitment Analytics, Skill Gap Analysis, Labour Market Information (LMI), AI-Based Recruitment, Tourism Industry, Hospitality Workforce Optimization.

Manpower mismatches within the hospitality industry in Udaipur, Rajasthan are caused by seasonality in tourism activities, lack of adequate skills pipelines and lack of utilization of data analysis for recruitment purposes. In this study, the dynamics of manpower demands and supplies in the hotel industry of Udaipur are assessed through a survey among 120 professionals working within the hotel industry, and an artificial intelligence framework for forecasting and optimizing manpower planning is recommended. The highest challenges included employee turnover (27.5%), followed by high recruitment costs (24.2%). 49.2% of respondents were aware of AI for forecasting, and 34.2% expect its use in HR to increase over the next five years. The study recommends an integrated AI model including time series prediction using LSTM, job description sentiment analysis, and an LMI dashboard to help balance manpower supply and demand in real time. Contributions made include the rare empirical literature on the use of AI models for workforce prediction in regional Indian hospitality organizations.

Published Paper   E-Certificate

"AI-Based Manpower Demand-Supply Analysis in Udaipur's Hotel Industry", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.11, Issue 10, page no.a643-a658, October-2026, Available :https://ijsdr.org/papers/IJSDR2610066.pdf

Volume 11 Issue 10, October-2026

Pages : a643-a658

Paper Reg. ID: IJSDR_312162

Published Paper Id: IJSDR2610066

Downloads: 00052

Research Area: Science and Technology

Country: Udaipur, Rajasthan, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2610066

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2610066

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition