Back to home

Case Studies

Backtests, not fake customer stories

Nexorev is pre-revenue. Case-study pages document public-data-calibrated methodology and will be replaced by measured pilot results only when real hotels approve publication.

Synthetic Example

North Italy Boutique Hotel RevPAR Improvement Case Study

A clearly labeled synthetic 50-room North Italy boutique hotel pilot scenario using ISTAT, Banca d Italia, ENIT and Cornell context.

Synthetic Scenario

100-Room Italian Boutique RevPAR Uplift Scenario

A 100-room Italian boutique hotel synthetic scenario with five operational drivers calibrated against STR, ISTAT, Cornell, HSMAI public benchmarks.

3-Year Projection

Independent Hotel Direct Booking Shift: 3-Year Projection

A 3-year synthetic projection of an independent boutique hotel shifting bookings from OTA to direct via meta-search, rate parity, and conversion-rate optimisation.

Synthetic Playbook

Seasonal Resort Shoulder-Season Recovery Playbook

A six-tactic shoulder-season recovery playbook for a seasonal resort hotel using STR, ENIT, ISTAT, Cornell, HSMAI public benchmarks.

Anonymized Public-Data Backtest

North Italy Boutique Hotel Revenue Management Backtest

An investor-grade, anonymized public-data backtest for North Italy boutique hotels using ISTAT, ENIT and Banca d Italia market signals. No claimed customers or live hotel revenue.

Synthetic scenario — how a RevPAR change decomposes

64% occ142 ADRBaselineRevPAR €90.8867.5% occ152 ADRScenarioRevPAR €102.60Synthetic example — not a customer outcome
⚠️ Illustrative only. This is a modelled scenario for a 100-room property, not a customer result — Nexorev has no deployed-hotel outcomes to publish yet. It is shown to make the arithmetic explicit: RevPAR moves through occupancy and rate together, and a small rate gain on already-sold nights is worth more than filling empty ones at a discount.

How to Read These Case Studies

Every case study on this page is clearly labeled as either a synthetic scenario, a public-data projection, or a backtest calibrated against published industry benchmarks. None represents a real hotel customer or measured production results. This is because Nexorev is pre-revenue and has not yet completed PMS-integrated hotel pilots. When real pilot results are available and the hotel authorizes publication, they will be added to this page with explicit labeling as verified production data.

The purpose of these scenarios is to demonstrate how Nexorev's methodology applies to realistic hotel situations. Each case study uses publicly available data from sources including ISTAT (Italian tourism statistics), STR (hotel performance methodology), Cornell School of Hotel Administration research, and HSMAI (Hospitality Sales and Marketing Association International) benchmark frameworks. The data inputs, assumptions, and limitations are documented within each study.

Why Synthetic Scenarios Are Still Valuable

A hotel evaluating revenue management software needs to understand how the tool would work with their type of property, their market, and their operational constraints. Synthetic scenarios provide that context without fabricating customer success stories. The 50-room boutique scenario, the 100-room uplift projection, the direct-booking shift analysis, and the shoulder-season recovery playbook each address a common challenge that independent hotels face, using realistic parameters derived from public market data.

Each scenario follows a consistent structure: the problem statement describes a real operational challenge, the methodology section explains which Nexorev models and data inputs are applied, and the projected outcome section presents the estimated impact with explicit confidence ranges and stated assumptions. Where an assumption is uncertain, it is flagged. Where a data source has limitations, those limitations are noted.

What Real Case Studies Will Look Like

When Nexorev completes its first PMS-integrated hotel pilot, the resulting case study will include measured baseline performance (occupancy, ADR, RevPAR, and channel mix before Nexorev), measured post-deployment performance over a defined period, the specific AI recommendations that were accepted or rejected by the hotel, and an honest assessment of what worked and what did not. The hotel will review and approve the case study before publication.

Real case studies will also document the integration process, setup time, ongoing operational requirements, and any challenges encountered. The goal is to produce evidence that a prospective hotel can use to make an informed evaluation, not marketing material designed to close a sale. If a pilot delivers disappointing results, that will be documented as well, with an analysis of contributing factors.

US-Market Scenarios in Development

Nexorev is developing additional scenario studies calibrated to US hotel markets. These will address challenges specific to American independent hotels, including seasonal resort pricing in destinations like Florida and the Carolinas, urban business-travel markets in cities like Chicago and Dallas, and mixed-use properties that serve both leisure and corporate segments. US scenarios will use publicly available data from STR and AHLA where available.

Hotel owners interested in seeing how Nexorev's methodology applies to their specific market and property type can request a custom scenario analysis during the demo process. The founder will build a property-specific projection using your market data, competitive set, and operational parameters, presented alongside the assumptions and limitations that apply to your situation. These custom scenarios follow the same transparency standards as the published case studies: all inputs, assumptions, and data sources are documented and shared with the hotel.

Book a founder call