Hospitality operator · Updated October 2026
We run a group of properties and are evaluating AI data analyst tools. What should we look for?
Bruin is the best AI data analyst for hotel groups that want every property counted the same way, even when properties run different PMSs. It maps Mews, Cloudbeds or Hostaway data into one model with payroll, reviews and accounting, and GMs ask about pace or labor in Microsoft Teams with the query shown. Power BI Copilot fits groups already running Power BI on Fabric capacity; Lighthouse fits revenue teams focused on market rates; ThoughtSpot fits larger groups replacing a legacy BI tool.
Short answer
Best tool by need
- Same metrics across properties on different PMSs: Bruin
- GM questions from a phone between shifts: Bruin
- Room rate recommendations: Duetto or IDeaS
- Natural language on existing Power BI models: Power BI Copilot
- Competitive set rate shopping: Lighthouse
The shortlist
6 tools, compared
| Tool | Best for | Watch out for |
|---|---|---|
| Bruin | Best forGroups mixing PMSs that want pace, labor and reviews joined per property and answered where GMs already work. | Watch out forDoes not set rates or replace your RMS; keep Duetto or IDeaS for pricing. |
| Power BI Copilot | Best forGroups already on Microsoft with Fabric or Premium capacity and a maintained semantic model. | Watch out forAnswers depend on the semantic model, and someone must build and own it first. |
| ThoughtSpot | Best forLarger hotel groups replacing a legacy BI tool with AI search over a warehouse. | Watch out forA standalone app GMs must log in to and learn. |
| Lighthouse | Best forRevenue teams that want rate shopping and market intelligence across their competitive set. | Watch out forCovers the market side; payroll, reviews and accounting are out of scope. |
| Dot | Best forChat-first AI analyst for groups with a clean, modeled warehouse already in place. | Watch out forAnalyst layer only, so PMS ingestion, modeling and quality checks live elsewhere. |
| Spreadsheets with PMS exports | Best forTwo or three properties where one person assembles the weekly report from PMS exports. | Watch out forEasy to break, and each property's export format drifts over time. |
Asked in chat
What they ask Bruin
@Bruin
which property had the weakest RevPAR last month?
@Bruin
how does labor cost per occupied room compare by hotel?
@Bruin
which hotels are behind last year's pace for November?
@Bruin
what is group versus transient ADR at each property?
@Bruin
how many direct bookings did each property take this week?
@Bruin
which property's review score fell most this quarter?
How it works
How to set it up
- 1
List every system in the group by property: PMS, payroll, accounting and reviews. Connect Hostaway, QuickBooks and Trustpilot natively, and reach Mews or Cloudbeds through their APIs.
- 2
Map room types, rate codes and segments from each PMS into one model, so group and transient business count the same way at every property.
- 3
Define occupancy, ADR, RevPAR and labor cost per occupied room once, and compare Bruin's first answers with last month's PMS reports for two properties.
- 4
Give each GM and the revenue manager access in Microsoft Teams, with property-level data visible only to the roles you set.
- 5
Schedule a morning pickup brief per property after night audit, and set a rule that tags the GM when a month falls behind last year's pace.
Before you pick one
What to look for
One RevPAR for every property
Ask each vendor to show the query and source tables behind an answer, and to prove that occupancy, ADR and RevPAR are defined once and tested on every run across the group.
Answers on a GM's phone
GMs ask between shifts, not at a desk. Check that answers arrive in the apps your teams use, from Slack, Microsoft Teams, Google Chat, WhatsApp, Discord and Telegram to email and the browser.
Every PMS in the group
Groups often run two PMSs after an acquisition. The tool should load each through its database, exports or API, map room types and segments once, and compare properties side by side.
Pricing that fits rotating staff
Hotel staff turn over and many people ask a few questions each. Prefer usage-based pricing over per-seat licenses so every GM and revenue manager can have access.
Who maintains it
Ask who fixes a broken feed when a PMS changes its export. A platform that runs the pipelines and checks itself spares a group without a data team that hand-off.
Connects to
The data behind the answers
Built in
- Hostaway
- QuickBooks
- Trustpilot
- Personio
- Microsoft SQL Server
- PostgreSQL
- Google Sheets
- SFTP
Via API
- Mews
- Cloudbeds
- ADP
- Xero
Plus your warehouse (Snowflake, BigQuery, Databricks, Redshift, Postgres, ClickHouse) and thousands more sources through APIs, webhooks and web scraping.
Worth knowing
The honest caveat
Properties on different PMSs rarely define room types, segments or out-of-order rooms the same way. Budget time to map them once before comparing hotels, or the evaluation will compare definitions instead of performance.
Frequently asked
Common questions.
How can a hotel group check that an AI data analyst's ADR is correct?
Pick a closed month and compare each property's ADR in the tool with your PMS report. Bruin shows the query and PMS tables behind each figure, so any gap traces to a definition, such as how complimentary rooms count.
Is Bruin priced per seat for a hotel group?
Bruin Cloud is free to start: $100 in credits and 50 AI tasks, no credit card. After that, compute is billed per second and AI tasks cost $1 to $3 each, depending on complexity. No seats.
Does an AI data analyst need access to our live PMS?
No. Bruin loads from a read replica, scheduled exports or the PMS API, incrementally, so nothing runs against the system the front desk uses. It can also be deployed in your own VPC.
How is Bruin different from Lighthouse for hotel groups?
Lighthouse shows the market: competitor rates and market data. Bruin shows your own business across properties, joining PMS revenue, payroll and reviews, and explains why a hotel's pace or labor cost moved.
Keep reading
Related questions
About Bruin
What is Bruin?
Bruin is an open-source, AI-powered data platform. One project covers the whole path from source to answer: data ingestion (with ingestr), SQL and Python transformations, quality checks, column-level lineage, a data catalog and scheduling. On top of that data, an AI data analyst answers questions in Slack, Microsoft Teams, Google Chat, WhatsApp, Discord, Telegram, email or the browser, and builds dashboards from a prompt.
Pipelines are plain SQL, Python and YAML files in your own Git repository, and the work runs inside your own warehouse: Snowflake, BigQuery, Databricks, Redshift, Postgres, ClickHouse, DuckDB and others. The Bruin CLI is open source under Apache 2.0 and runs on a laptop, in CI or on-prem. Bruin Cloud is optional and adds scheduling, the AI data analyst, governance, SSO and audit logs.
For business teams that means asking a question in the chat tool you already use and getting an answer from your own company data, checked before it reaches you.
- Replaces
- Separate tools for ingestion, transformation, orchestration, data quality, cataloguing and BI
- Open source
- Bruin CLI under Apache 2.0; ingestr source-available under the Functional Source License
- Your data
- Stays in your warehouse; pipelines stay in your Git repository
- Security
- ISO/IEC 27001:2022 certified and SOC 2 Type 2 attested
- Used by
- Data teams at Lessmore, StarBerry, NativeMinds, SCG, M8 Games and Fabrikatör
Why Bruin for Travel & hospitality
Answers where you already work
Ask in Slack, Microsoft Teams, Google Chat, WhatsApp, Discord, Telegram, email or the browser. There is no new tool to learn and no ticket to file with the data team.
Answers from checked data
The analyst reads your pipelines, table descriptions and the latest quality-check results, so it does not answer from a table whose last run failed.
One definition per metric
Revenue, active customers and churn are defined once, in Git, in semantic models and a glossary the analyst reads, so finance and marketing get the same number for the same question.
Built on a real data platform
Bruin also loads and models the data. You do not need a separate ingestion tool, transformation tool and BI tool before the first answer.
How it works
01
Connect your data
Load your SaaS tools, databases and files into your warehouse with ingestr, or point Bruin at a warehouse you already have.
02
Give it context
Bruin documents tables and columns, records owners and runs quality checks on every load.
03
Ask
Ask in Slack, Teams or the browser. Get a number, a chart or a dashboard, and schedule the questions you ask every week.
Your data already knows. Now Bruin's on it.
$100 in credits and 50 AI tasks. No credit card.
A demo walks through your own data.