Guides & Resources
RMS Cloud Bank Reconciliation for Hospitality Finance Teams
RMS Cloud Bank Reconciliation for Hospitality Finance Teams
Hospitality finance teams often depend on RMS Cloud reports to track bookings, guest payments, deposits, refunds, and other property-level transactions.
But when the finance team has to reconcile RMS Cloud data with bank statements, card settlement reports, or payment processor reports, the process can quickly become difficult.
The challenge is not only about matching dates and amounts.
In many cases, the actual payment reference, authorization code, transaction ID, guest identifier, or booking-level detail may be present inside a comment, narration, payment note, or settlement description.
That makes reconciliation difficult to complete using simple Excel formulas.
Why RMS Cloud reconciliation can become complex
A hotel, serviced apartment, resort, or property group may receive payments through multiple channels.
These may include:
- Card payments
- Bank transfers
- AmEx payments
- Payment gateway settlements
- OTA payments
- Refunds
- Chargebacks
- Deposits
- Advance payments
- No-show charges
The PMS report may show the booking and guest-level payment details.
The bank statement may show the actual money received.
The payment processor report may show the settlement, fees, transaction reference, authorization code, and payout details.
The finance team then has to connect all these records together.
Why date and amount matching is not enough
In a simple reconciliation, a finance team may try to match transactions using:
- Payment date
- Settlement date
- Amount
- Customer name
- Booking ID
- Transaction reference
But hospitality payments are rarely that simple.
A payment may be collected on one date, settled on another date, and credited to the bank after a delay.
Multiple guest payments may be settled together.
Processor fees may be deducted before the amount reaches the bank.
A refund may appear in a different report.
A card authorization code may be hidden inside a comment field.
Because of this, VLOOKUP, pivot tables, and basic spreadsheet formulas often fail.
Common issues in RMS Cloud to bank reconciliation
Hospitality finance teams commonly face issues such as:
- Payment references appearing in different formats
- Authorization codes buried inside comment columns
- One bank credit containing multiple guest payments
- Different settlement cycles for different payment channels
- Refunds and reversals appearing separately
- AmEx, Worldline, and other processor reports following different layouts
- Manual checking of each booking against each settlement
- Unclear reasons for unmatched transactions
These issues increase month-end workload and make reconciliation dependent on manual effort.
How AI-based reconciliation can help
AI-based reconciliation can help hospitality finance teams by reading and interpreting messy transaction descriptions.
For example, AI can identify a payment authorization code from an RMS Cloud comment field and then search for the same or related reference across payment processor reports and bank statements.
Once the possible match is identified, the reconciliation system can apply structured checks such as:
- Amount match
- Date tolerance
- Booking-level reference match
- Settlement reference match
- Processor payout match
- Bank credit match
This allows the finance team to focus on exceptions instead of manually reviewing every transaction.
Example reconciliation flow
A typical RMS Cloud reconciliation flow may involve:
- Uploading or connecting the RMS Cloud report
- Uploading the bank statement
- Uploading payment processor reports such as Worldline or AmEx
- Extracting references from comments, narrations, and payment fields
- Matching PMS transactions with processor transactions
- Matching processor settlements with bank credits
- Identifying matched, mismatched, and unmatched records
- Downloading an exception report for review
This gives the finance team a clear view of which bookings have been paid, settled, and credited to the bank.
What hospitality finance teams should look for
When evaluating a reconciliation solution for RMS Cloud, finance teams should look for:
- Ability to handle messy text fields
- AI-based reference extraction
- Multi-file reconciliation
- Support for bank statements and payment processor reports
- Flexible matching rules
- Booking-level exception reporting
- Audit trail for finance review
- Downloadable reconciliation reports
- Ability to work with exports and APIs
The solution should not require the finance team to redesign its entire process before seeing value.
How Cointab helps
Cointab helps hospitality finance teams automate complex reconciliation between PMS reports, bank statements, and payment processor reports.
For RMS Cloud users, Cointab can help reconcile booking-level payments with bank credits and processor settlements, even when key references are hidden inside comments or narration fields.
Instead of manually searching through RMS Cloud reports, bank statements, Worldline reports, AmEx reports, and other files, finance teams can use Cointab to identify matches and review exceptions faster.
Conclusion
RMS Cloud to bank reconciliation is not always a simple spreadsheet task.
For hospitality businesses with multiple properties, payment channels, and settlement reports, manual reconciliation can consume significant finance time.
AI-based reconciliation gives hospitality finance teams a more practical way to match PMS payments, processor settlements, and bank credits.
Cointab helps finance teams move from manual checking to structured, auditable reconciliation.
