The automation matches OTA commission invoices with PMS reservations using reference numbers, compares calculated commissions with invoiced values, flags mismatches, and produces a reconciliation report. Finance teams can quickly identify errors without reviewing individual reservations manually. This gives hotel teams a reliable daily and monthly view of commissions due, paid, and disputed while reducing manual effort and revenue leakage.

Benefits / Results

• 12 hours saved per month per hotel

• Reduce manual commission checks across OTAs

• Prevent overpayments and missed commission disputes

• Improve accuracy of finance reconciliation records

• Speed up monthly commission reporting

• The 12 hours per month figure is RobosizeME’s indicative average for Commission Reconciliation in the Financial Reconciliation Suite, based on an average property and OTA volume.
  
  

Technical Details

This automation connects to hotel and OTA environments using the most suitable method for each system, including API, secure file exchange, or rules-based RPA where direct integration is limited. It processes reservation and commission data from the PMS and OTA extranets, matches records through confirmation or reference numbers, calculates expected commission amounts, and applies validation logic to detect mismatches. Exceptions are written to a structured reconciliation output for hotel review. The workflow can run on a daily schedule for tracking and on a weekly or monthly cycle for consolidated reporting. Logging, exception handling, and audit trails support reliable operation and controlled finance processes.

FAQs

How much time can this save?
On average, this automation saves around 12 hours per month per hotel for commission reconciliation. Savings increase with OTA volume, reservation count, and portfolio size. It also reduces time spent investigating discrepancies and preparing monthly reporting.

Which OTAs can be included?
The workflow can support major OTA and distribution partners such as Onyx, Booking.com, Expedia, Agoda, and Hotelbeds. The final scope depends on your existing setup, data access method, and reconciliation requirements at property or group level.

What discrepancies does it detect?
The automation highlights mismatches between OTA claims and PMS data, including reservation status, length of stay, revenue, and commission amount. This helps finance teams spot overcharges, missing claims, and data inconsistencies before payments are approved or written off.

Does this work with our PMS?
Usually, yes. RobosizeME works with a wide range of hospitality systems using APIs where available and rules-based digital workers where they are not. This allows automation even in environments with legacy systems or limited integration options.

Is financial data handled securely?
Yes. RobosizeME positions security and compliance as a core part of delivery, highlighting GDPR, ISO 27001, and PCI-DSS credentials in its standard messaging. Automated workflows also improve control by reducing manual handling, scattered spreadsheets, and inconsistent audit trails.