Hospitality operator · Updated October 2026
What is the best AI data analyst for travel and hospitality businesses?
Bruin is the best AI data analyst for travel and hospitality businesses that want pace, ADR and RevPAR explained across every property and system. It joins PMS and booking data with reviews, payroll and accounting, compares what is on the books with the same day last year, and answers in Slack with the query behind each figure. Duetto or IDeaS fit hotels that need a revenue management system to set rates; Lighthouse fits teams that want rate shopping and market intelligence; Power BI fits groups with analysts already building Microsoft reports.
Short answer
Best tool by need
- Why pace or RevPAR moved, by property: Bruin
- Labor cost per occupied room: Bruin
- Setting daily room rates: Duetto or IDeaS
- Competitor rate shopping: Lighthouse
- Vacation rental operations and listings: Hostaway
The shortlist
6 tools, compared
| Tool | Best for | Watch out for |
|---|---|---|
| Bruin | Best forHotel and travel groups that want PMS, booking, review and payroll data joined and answered in Slack, with the query shown. | Watch out forNot a PMS or revenue management system; it explains rates and pace but does not set them. |
| Duetto or IDeaS | Best forRevenue management systems for hotels that want room rates set and adjusted by a dedicated system. | Watch out forBuilt around pricing, so questions about labor, reviews or accounting sit outside it. |
| Lighthouse | Best forRate shopping and market intelligence for hotels that track competitor prices and market demand. | Watch out forMarket view first; your own payroll, reviews and accounting live elsewhere. |
| PMS reports (Mews, Cloudbeds) | Best forBuilt-in occupancy, ADR and arrivals reports for a single property or a chain on one PMS. | Watch out forCover one system, so a group on two PMSs gets two sets of numbers. |
| Power BI Copilot | Best forMicrosoft shops with analysts who build semantic models over hotel data and want natural-language questions on top. | Watch out forNeeds paid Fabric or Premium capacity and is only as good as the semantic model behind it. |
| Spreadsheets with PMS exports | Best forSmall operators with one or two properties who rebuild the weekly pickup report by hand. | Watch out forManual, and stale by the time the pickup report reaches the GM. |
Asked in chat
What they ask Bruin
@Bruin
how is pickup for December versus last year?
@Bruin
what was RevPAR by hotel last weekend?
@Bruin
which dates next month are furthest behind last year?
@Bruin
is the October gap group or transient business?
@Bruin
what was labor cost per occupied room in August?
@Bruin
did review scores drop after our sold-out weekends?
How it works
How to set it up
- 1
Connect your PMS through its database, exports or API (Mews and Cloudbeds through their APIs), and connect Hostaway natively for vacation rentals.
- 2
Add QuickBooks for accounting, Trustpilot for reviews and payroll hours from exports, so revenue, labor and guest feedback sit in one model per property.
- 3
Define occupancy, ADR and RevPAR once for every hotel, including how complimentary and out-of-order rooms count, and Bruin tests them on every run.
- 4
If your PMS keeps no daily on-the-books snapshot, Bruin starts one the day you connect, so pickup and pace compare like for like from then on.
- 5
Schedule pickup and pace by hotel in Slack each morning after night audit, and set a rule that posts the emptiest dates when a month falls behind last year.
Connects to
The data behind the answers
Built in
- Hostaway
- PostgreSQL
- Microsoft SQL Server
- QuickBooks
- Trustpilot
- Stripe
- Google Ads
- Google Analytics 4
- SFTP
Via API
- Mews
- Cloudbeds
- Xero
- Birdeye
Plus your warehouse (Snowflake, BigQuery, Databricks, Redshift, Postgres, ClickHouse) and thousands more sources through APIs, webhooks and web scraping.
Worth knowing
The honest caveat
Bruin does not set rates or replace your RMS or PMS. Pace against last year also needs history: if your PMS keeps no daily snapshot, last year's pickup comes only from exports you already saved and from Bruin's own snapshots as they build up.
Frequently asked
Common questions.
How do I know an AI data analyst's RevPAR number is right?
Bruin shows the query and the PMS tables behind every answer. Occupancy, ADR and RevPAR have one definition for every property, tested on every run, so a GM and the revenue manager quote the same figure.
Does Bruin replace a hotel revenue management system?
No. Your RMS, such as Duetto or IDeaS, sets rates. Bruin answers questions across the PMS, reviews, payroll and accounting, and explains why pace, ADR or occupancy moved at each property.
Can an AI data analyst split group and transient business?
Yes. Bruin splits room nights, ADR and pace by segment, so you can see whether a missing group block or softer transient demand is behind a gap against last year.
How is Bruin different from asking ChatGPT about hotel data?
ChatGPT only sees the exports someone pastes in, so two managers can get two different answers. Bruin answers from the connected PMS, review and payroll data, runs the query itself and shows its sources.
Your data already knows. Now Bruin's on it.
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