What is INNRLY?
INNRLY offers a comprehensive hotel management platform that integrates revenue matrix, labor, payables, and back-end operational data into a single location. The system provides real-time insight into business performance, hotel performance, and management through a user-friendly interface accessible from anywhere with a single login.
The platform transforms hotel operations without requiring changes to existing systems, protecting data and credentials while maintaining current setups. It standardizes operational performance measurement across properties and automates accountability processes to prevent losses before they occur, leveraging cloud-based integration and customization options.
Features
- Pulse Dashboard: Property-wide view of business health with key indicators like revenue, labor, AR, AP and customizable reports
- Early Bird: Comprehensive model measuring hotel performance across rooms, revenue, ADR, occupancy and RevPar with budget comparisons
- Calendar View: Organizes bank deposits and reports by date with document upload capabilities for reconciliation
- Night Audit+: Filters nightly report data to identify issues like declined credit cards or below-threshold room rates
- QuickBooks Integration: Automatically syncs daily trial balances to eliminate manual data entry and miscoding
- Labor Snapshot: Consolidated view of hotel portfolio labor information including hours, housekeeping minutes per room and overtime risks
Use Cases
- Monitoring hotel portfolio performance across multiple properties
- Automating accounts payable and accounts receivable processes
- Tracking guest satisfaction scores and feedback management
- Analyzing labor productivity and overtime risks
- Reconciling online travel agency bookings and payments
- Generating STR benchmarking reports across property portfolios
- Managing bank deposits and financial reconciliation
- Creating customizable performance reports for stakeholders
Related Queries
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INNRLY Uptime Monitor
Average Uptime
99.05%
Average Response Time
469.07 ms