@article{sikorski2026smart,
  title = {Smart Rentals, Smarter Profits:  How Artificial Intelligence Improves  Operational and Financial Efficiency in  Short-Term Apartment Management},
  author = {Maciej SIKORSKI and Iwona PRZYCHOCKA},
  year = 2026,
  url = {https://ibimapublishing.com/articles/JEERBE/2026/956620/},
  journal = {Journal of Eastern Europe Research in Business and Economics},
  volume = 2026,
  pages = 8,
  doi = 10.5171/2026.956620,
  abstract = {This paper explores how artificial intelligence (AI) can enhance operational efficiency and financial performance in the short-term rental market. Using a qualitative single case study of Solarento, a new technology-driven operator in Poland, the study examines the implementation of AI in revenue management, demand forecasting, operational automation, and owner-facing financial transparency. The research integrates comparative insights from two established competitors: Sun & Snow and Downtown Apartments, to better contextualize the AI-driven approach.
Data sources include internal reports, public statistics, market studies, and the company’s digital performance dashboards. Thematic analysis identifies key patterns and differentiators across five strategic areas. Findings show that AI-enabled models not only reduce operational costs and vacancy periods, but also improve guest experience and owner satisfaction through greater transparency and adaptive pricing.
Despite the operational and economic benefits, the study highlights several challenges such as data dependency, algorithmic opacity, and ethical risks related to automation and guest profiling. The paper concludes with a set of recommendations for implementing hybrid models that balance automation with human oversight.
This research contributes to the growing literature on digital transformation in the hospitality industry and provides practical insights for rental operators aiming to remain competitive in a data-driven economy.},
  keywords = {short-term rental, management efficiency, AI, automation},
  note = Article ID: 956620
}