What This Research Hub Contains
This hub collects research and analysis produced by Nexorev's founder on topics relevant to independent hotel revenue management. All research uses publicly available data and cites primary sources. There are no invented researchers, no fabricated academic credentials, and no paid placements. The content is written by Mustafa Bilgic, a solo technical founder who built the Nexorev platform, and reflects his direct analysis of publicly available hotel industry data.
Research topics include revenue management playbooks, PMS integration comparisons, hotel industry statistics, and market analysis. Each piece is designed to be practically useful for hotel operators evaluating their revenue management approach. Where data is cited, the source URL is provided so readers can verify the original material.
Primary Source Base for US and European Markets
Nexorev research draws from a defined set of primary sources. ISTAT provides Italian tourism arrival and occupancy statistics. Banca d'Italia publishes international tourism expenditure data. ENIT releases seasonal tourism reports and market analysis. STR provides hotel performance methodology and benchmark definitions used by the global hotel industry. Cornell School of Hotel Administration publishes academic and practitioner research on revenue management, pricing strategy, and hospitality operations.
For US-market research, additional sources include AHLA (American Hotel and Lodging Association) for industry surveys and advocacy data, Phocuswright for online travel market research, Skift for hospitality industry reporting and analysis, and HSMAI (Hospitality Sales and Marketing Association International) for revenue management practice standards and benchmarks.
How to Use This Research
Independent hotel operators can use these research pages to benchmark their current practices against industry standards, evaluate PMS and RMS options, understand the fundamentals of demand-based pricing, and assess whether AI-driven revenue management is appropriate for their property. The content assumes a reader who is operationally experienced but may not have formal revenue management training.
Revenue management consultants, hospitality educators, and technology vendors are welcome to reference this research with appropriate attribution. All data points cite their original source, and the analysis represents one founder's interpretation of publicly available information. Readers are encouraged to verify primary sources and form their own conclusions.
For hotel owners comparing revenue management software, the PMS Integration Comparison and Revenue Management Statistics pages provide data-driven starting points. These are not product comparisons designed to sell Nexorev but assessments of the technology landscape based on publicly available information about each vendor's capabilities, pricing, and integration options.
Upcoming Research Topics
Planned research topics include a comparison of AI pricing accuracy across different hotel market types (urban, resort, airport, extended-stay), an analysis of direct booking economics for independent hotels versus OTA dependency costs, and a practical guide to building a competitive set for revenue management benchmarking. US-focused research on seasonal pricing strategies for major tourism regions is also in development. All upcoming research will maintain the same standard of public-source citation and transparent methodology.
If you are an independent hotel operator, revenue management consultant, or hospitality educator with a research topic suggestion or a dataset you would like to see analyzed, contact the founder directly. Contributions from practitioners with real operational data are particularly valuable and will be credited with full attribution.