Book faster.Bill cleaner.Collect sooner.See every property.
Data Semantics gives hotel groups and owners one view of revenue, receivables, costs and profitability across every property, and AI agents that run the back office: B2B reservations, city ledger billing, collections, reconciliation and supplier invoices. It works on Oracle OPERA and other property-management systems, and the finance systems you already use.
For hotel groups, resorts, owners and asset managers, and developers with hotel and serviced-apartment portfolios.
Data Semantics provides analytics, automation and AI agents for hotels and hospitality groups. We give operators, owners and group leadership one trusted view of revenue, channel profitability, receivables, payables and GOP by property. AI agents then run the back-office work: turning B2B booking requests into reservations, billing the city ledger, following up for payment, reconciling OTA commissions and processing supplier invoices. It runs on Oracle OPERA, where our live deployments are, connects to other property-management systems through their APIs and posts to your ERP.
Revenue that isn't paid at the front desk runs through a B2B order-to-cash cycle with tour operators, wholesalers, corporates, government entities and online travel agencies. Every stage touches a different team and a different system.
Rates, allotments and credit terms agreed with tour operators, corporates and government accounts.
Booking requests, rooming lists and POs arrive by email or portal and become reservations in OPERA.
Room, F&B and ancillary charges post to folios and route to the right account.
City ledger invoices are collated with supporting documents and sent in each account's format.
Follow-ups, disputes and promises to pay are tracked until the cash arrives.
Receipts and OTA commissions are matched, posted to the ERP and reported by property and account.
The same hotel can have an operator, an owner and a parent group, each asking different questions of the same data.
Multi-property operators running OPERA with central or cluster finance teams.
Where we help
Destination properties with heavy tour operator, wholesale, group and event business.
Where we help
Owners who need timely, independent visibility of how their operators are performing.
Where we help
Master developers running hotels, serviced apartments and branded residences alongside property sales.
Where we help
We combine industry understanding with the technical know-how to build what you need, from analytics and automation to AI agents that act. These are the most common starting points, and the last card in each row covers everything else.
Revenue and distribution intelligence is one view of what every channel, account and contract really earns once commissions, discounts and payment terms are counted.
Owner and portfolio intelligence is a governed, timely view of property performance for owners, asset managers and group leadership.
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Reservations desk automation is AI that reads booking requests, rooming lists and purchase orders from B2B accounts and turns them into accurate reservations in OPERA.
Reservation-to-cash automation is the end-to-end flow from a confirmed B2B booking to an invoiced, collected and posted receivable, run by AI agents on top of OPERA and your ERP.
Collections automation is knowing which receivables will pay, which will slip and why, and acting on it before they age.
AP automation is AI that captures, matches and routes supplier invoices so finance teams approve exceptions instead of keying data.
Tell us where your teams lose the most time today. We’ll show you what we would fix first, on the systems you already run.
A hospitality ontology is a shared model of the business: properties, accounts, contracts, reservations, folios, invoices, receipts and the rules that connect them, mapped to the systems where each one lives.
Two everyday back-office jobs, run by AI agents with people approving the exceptions.
Reservation-to-cash · Collections
Reservation-to-cash · Revenue intelligence
Illustrative examples. Volumes and steps vary by property and account.
We don’t borrow results from other industries. Every hospitality engagement starts by measuring today’s baseline, and success is proven against it. These are the measures we track most often.
Reservation-to-cash on OPERA
B2B reservations from tour operators and corporates, city ledger invoicing, receipt reconciliation and allocation, and Booking.com commission reconciliation, run on top of OPERA.
Multi-property billing and reconciliation
City ledger billing, reconciliation and payment allocation across several properties, connected to group finance.
AI on the reservations and collections desks
AI agents answer routine reservation emails and place collection calls, with every promise to pay and dispute recorded for the finance team.
Each is a fixed-scope engagement on your own data, measured against today’s baseline.
GOP, revenue by channel, receivables and payables across every property, in one governed view for owners and leadership.
Business Intelligence & Analytics →AutomationAI agents take B2B bookings through to billing and collection for one property or account segment, measured against today.
Zebo →AutomationSupplier invoices captured, matched and posted to your ERP by property and department, with exceptions to your team.
Serina →Every engagement follows the same path: measure today’s baseline, connect and model the data, prove it on a real workflow, then scale.
About hospitality AI
Reservation-to-cash automation is the end-to-end flow from a confirmed B2B booking to an invoiced, collected and posted receivable. AI agents take the booking request, create the reservation in OPERA, bill the city ledger, follow up for payment and allocate the receipt in your ERP.
Systems
Oracle OPERA on-premise and OPERA Cloud, where Data Semantics’ live hotel deployments run, plus other property-management systems such as Infor HMS, protel, Mews and Cloudbeds through their APIs or data exports. The integration route is confirmed in the first assessment. Data Semantics works with OPERA on-premise and OPERA Cloud. The integration method depends on the version, deployment and OHIP access, and we confirm it during the assessment.
No. Data Semantics works on top of OPERA or your other PMS and your ERP through supported interfaces. Reservations, folios, accounts and the general ledger stay in the systems you already use.
Revenue and collections
Tour operators, wholesalers, travel agents, corporates, government entities and online travel agencies, each with its own contract, billing format and payment terms.
Collections intelligence is knowing which receivables will pay, which will slip and why, and acting on it before they age. It combines aging and risk scoring with AI voice and email follow-ups, promise-to-pay tracking and dispute routing.
Yes. AI voice and email agents follow up on due and overdue invoices, record promises to pay and capture disputes, within scripts and limits you approve. Sensitive cases go to your credit controllers.
Cost and reporting
Yes. Serina captures supplier invoices from email, matches them to purchase orders and receipts, routes approvals by property and department, and posts to your ERP with a full audit trail.
Yes. Data Semantics builds owner and portfolio intelligence on your PMS, POS and ERP data: GOP, GOPPAR and departmental results, budget versus actual and rolling forecasts, and owner and management-company reporting packs, by property and across the portfolio.
Getting started
Yes. Most clients start with one property, one account segment or one process, prove the result against a baseline, then extend it across the portfolio.
AI agents read requests, match documents, follow up and recommend next steps within rules you set. Financial postings and business-critical decisions stay with accountable people, and every action is logged.
Unbilled stays, an overdue city ledger, an AP backlog or an owner pack that takes two weeks. We'll show you what it takes to fix one of them, on top of the systems you already run.
Or email info@datasemantics.co
