Dynamic pricing strategies to maximize hotel revenues

This article investigates modern dynamic pricing strategies predominantly employed in the hospitality industry to maximize revenue. The relevance of this topic stems from intensifying competition in the tourism services market, shifts in consumer behavior, and the proliferation of digital booking platforms. The article hypothe­sizes that implementing adaptive pricing models, based on an analysis of demand, booking lead times, and customer behavioral characteristics, can enhance a hotelʼs profi­tability. The research methodology includes comparative analysis, case studies, economic-mathematical modeling, and data visualization. The article analyzes examples of dynamic pricing strategy imple­mentation in leading international hotel chains and develops an adaptive pricing model that integrates the analysis of internal and external data with the automatic generation of optimal prices for various segments and distribution channels. The findings confirm the effectiveness and promise of adaptive pricing strategies as a tool for increasing hotel profitability. Practical recom­mendations are provided for adapting dynamic pricing to business hotels, recreational complexes, and boutique hotels