Otel AI provides an AI-powered operational layer for hotels that connects to existing property management, revenue management, and payroll systems—including legacy ones without APIs—and reads them as a single unified data source. The platform automates overnight monitoring, generates daily revenue and operational reports, and drafts recommended actions with full traceability to source data. It delivers measurable results such as +8.6% RevPAR growth and approximately 120 rate actions per month for customers like O'Callaghan Collection.
Funding
Funding not disclosed
Founders
Product
Problem
Hotel revenue and operations teams are overwhelmed by fragmented data spread across property management systems, revenue management tools, payroll platforms, and guest databases. Manual reporting and analysis consume hours each day, while critical insights—such as rate parity issues, group block risks, or labor overages—are often discovered too late to act on. This leads to missed revenue opportunities, inefficient staffing, and reactive rather than proactive decision-making.
Solution
Otel AI provides an AI-powered operational layer that connects to the systems hotels already run—including legacy systems without APIs—and reads them as one unified hotel. The platform continuously monitors revenue, payroll, guest, and operational data around the clock, then delivers a prioritized morning report of what happened, what it's worth, and what to do next. Every recommendation arrives fully drafted with its reasoning, and team members can approve, adjust, or decline actions, with the system learning from each decision. All figures are computed rather than generated, with every number traceable back to its source system, query, and timestamp, ensuring transparency and trust in the AI's outputs.
Target Audience
Primary customers are hotel revenue managers, general managers, and commercial teams at independent hotels, estates, and collections—such as The Johnstown Collection and O'Callaghan Collection—who need to monitor multiple properties and systems without adding headcount.
Features
- Pre-built integrations with Opera, Guestline, Hotsoft, Apaleo, Mews, IDeaS, Duetto, Right Revenue, and Lightho, including legacy systems without APIs
- 24/7 autonomous agents that audit bookings, re-shop comp sets, check rate parity, review group blocks, and monitor no-shows overnight
- Natural language chat interface that answers questions across revenue, payroll, guest, and operations data in seconds
- Automated daily reporting for pickup, pacing, sales, and payroll, delivered before the team sits down
- Action workflow engine that drafts rate changes, restriction updates, and emails with full reasoning, requiring human approval before anything goes live
- Published weekly accuracy log showing confirmed flags, declined recommendations, and known misses, with a rolling correction log
- Clickable figures that trace back to source system, query, and timestamp for full auditability