
AI Hotel Revenue Assistant
Analyses pace, pickup and competitor rates to support pricing decisions.
Direct versus channel bookings, upgrade take-up and guest request volumes answered on request from your PMS and booking data.
Hotel owners and general managers ask simple questions that are slow to answer: how direct bookings compare with channel bookings, how often upgrades are taken, which guest requests come up most. This analyst answers in plain language from your property management system, booking engine and channel manager exports. Every chart shows its source, and connections are read-only.

AI Data Analyst Agent for Hotels & Hospitality answers plain-language questions from your property management system, booking engine and channel manager exports, such as how direct bookings compare with channel bookings or how often upgrade offers are accepted. Charts arrive with the source shown, for teams without an analyst. Connections are read-only.
Every booking that comes through a channel instead of direct costs commission, and hotels rarely see the full picture without an analyst. Revenue and operations teams end up exporting spreadsheets from three systems to answer one question from the owner. This analyst answers on demand, with the source shown, so decisions on channel mix, offers and staffing are made on facts. The written scope sets sources, metrics and checks against your booking history before you order.
Ask how direct bookings compare with channel bookings and the agent answers from your PMS, booking engine and channel manager exports. Each chart arrives with its source shown.
Revenue, operations and finance staff ask in plain language through email, Slack or a dashboard. Hotels & Hospitality metric definitions are agreed, so occupancy and rate mean the same to everyone.
The agent answers how often upgrade offers are accepted, using read-only connections to your systems. A recurring report can bring the figure to you on a set schedule.
Your portal lists these the moment you order. Delivery starts the working day after everything is in and your access is checked.
| Option | Delivery time | Price |
|---|---|---|
| Standard | 20–30 working days | $5,900 |
| Express | 15–25 working days | $6,800 |
| Rush | 10–20 working days | $7,650 |
Before you start: Record your current direct booking mix, occupancy and average rate by month. Time how long the weekly revenue update takes.
These are things to track, not promised results. Outcomes depend on your data, your team and your market.
The build itself is a one-time payment, shown before you buy. Running it costs roughly $20 to $150 a month in your own accounts for AI model usage and hosting or scheduling, depending on how many questions are asked and how often reports run.
PMS, booking engine and channel manager fees, and AI usage during build and testing, stay billed to you.
Ask about running costsA group of hotels reported separately, a fourth source such as a point-of-sale system, or a second delivery channel needs a written Change Quote. Add a note at checkout to receive one. Larger or bespoke projects go through the Custom AI request form instead.
Request a custom versionMonthly maintenance covers monitoring, fixes, updates, a health report and change hours for things such as a new room type, a seasonal target or an added channel. The hours scale with your build, and bigger changes go through a Change Quote. Maintenance starts after the included support period and can be cancelled any month.
$295/mo (5% of the build price a month, includes 2 change hours)
Optional. Starts after the post-launch support period. Cancel any month.
How maintenance works| Do it yourself with a SaaS tool | Hire a custom agency | Upmark Labs | |
|---|---|---|---|
| Price | A hotel business intelligence tool bills monthly per property | A hospitality consultant charges per report | Ours is one fixed price, shown before you buy |
| New questions | Limited to the dashboards provided | A new report each time | Ours answers fresh questions using your definitions |
| Rates and inventory | Some tools change rates automatically | Advice only | Ours reads only and never changes rates or inventory |
| Delivery | Property onboarding | Weeks to scope | Ours has a fixed delivery time shown before you buy, with faster options |
Up to three read-only sources, normally your property management system via API, your booking engine and channel manager exports. Google Sheets can be used for budgets or targets. If your PMS has no API, tell us at intake, because a different access route may need a Change Quote.
Yes, using your definition of a direct booking and the channel codes in your PMS or channel manager exports. Ask about any period, room type or length of stay held in the data, and it returns a chart and summary with the source shown, including when the export was taken.
From whatever records the offer and its outcome, typically the PMS or booking engine. You define what an accepted upgrade looks like in that data during intake. If offers are sent through a separate messaging tool that is not connected, the analyst can only count upgrades the connected systems record.
No. All connections are read-only, so it cannot change rates, restrictions, inventory or reservations in any connected system. It answers questions and raises alerts only. For support with pricing decisions based on pace, pickup and competitor rates, see AI Hotel Revenue Assistant, which is built for that job.
Roughly $20 to $150 a month in your own accounts for AI model usage and hosting or scheduling. A single property with a few managers asking questions usually sits at the lower end, while frequent alerts and many users push it higher. The build itself is a one-time payment.
The standard, Express and Rush delivery times are shown in the price panel before you order, and the clock starts after a verified intake. PMS API access is the item that most often slows intake, which is due within 72 hours of ordering.
Order AI Data Analyst Agent for Hotels & Hospitality and direct-booking, channel and upgrade questions are answered from your PMS data, with the source on every chart.

Analyses pace, pickup and competitor rates to support pricing decisions.


Forecasts demand, revenue or volume with explained assumptions.