








Siloed spreadsheets and manual exports make strategic analysis a multi-day chore.
No real-time visibility into labor and occupancy metrics.
Fragmented data prevents cross-functional insight.
Manual reporting is error-prone and outdated.
See labor cost as a percentage of revenue, average hours per department, and overtime trends updated live.
View daily, weekly, and monthly occupancy rates alongside average daily rate (ADR) and RevPAR, all in a single chart.
Monitor number of open repair tickets, average time to repair, and asset downtime, spotting problem areas quickly.
Select fields (e.g., “Hire Date,” “Last Review Score,” “Total Hours Worked,” “Maintenance Cost”) and apply filters (“Housekeeping,” “Full-Time,” “June 2025”) to create your own report—no SQL required.
Configure monthly budget vs. actual reports to auto-generate and email to stakeholders every first business day—no manual follow-up.
Combine recruiting, scheduling, and maintenance data in a single query—e.g., correlate “Time from hire to first cleaning assignment” with “Room readiness scores” to see onboarding effectiveness.
AI analyzes factors (tenure, performance ratings, scheduled shifts) to flag employees at high risk of leaving—enabling proactive retention efforts.
Based on upcoming reservations and historical staffing trends, AI highlights which departments will likely incur overtime next week—so managers can hire part-timers in advance.
Simulate how raising room rates by 5 € during high-demand weekends affects occupancy and revenue—AI runs scenarios in seconds.
General Managers access a summary dashboard with KPIs at a glance—guard rail charts for budget, occupancy, and guest satisfaction.
Housekeeping managers see only their team’s efficiency and compliance metrics; HR managers see recruiting funnel, time-to-hire, and training completion rates.
Click any data point (e.g., a spike in May labor cost) to drill into details—view which roles or events drove the increase.

Hotel Seinz
by replacing manual exports with real-time dashboards.
through AI-driven risk alerts and targeted retention campaigns.
with proactive overtime forecasting and hiring.
using interactive data visualizations and scenario modeling.