Today Dashboard
In one view you get daily KPI, MTD and forecast, so your team spots deviations earlier and makes faster operational and revenue decisions.
PRO Tiger 2026 nominee · Most Interesting AI Implementation category, for LBooking EWOSOFT AGENT.
LBooking EWOSOFT AGENT collects data from your PMS, reservations and sales channels, and AI suggests what to do with rates and sales. Every morning the team knows where to start.
Hotel Warszawa RevPAR, May-October 2026 vs 2025
occupancy at Hotel Warszawa over the same period
hotels in Poland work on AGENT
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Daily KPIs, alerts and rate recommendations in one place. The full report list is below.
In one view you get daily KPI, MTD and forecast, so your team spots deviations earlier and makes faster operational and revenue decisions.
The system automatically detects anomalies, scores risk and recommends clear next actions to prevent revenue losses sooner.
AI recommends rate levels for specific dates and segments, helping you grow ADR and revenue without sacrificing demand.
AI Revenue Engine is the agent core. PMS and Direct Booking & CMS are complementary modules within the same platform.
Each report module runs on real-time property data and is enriched by EWOSOFT AI decision context.
Daily business pulse so teams react fast and with confidence.
May-October 2026, since the hotel started working on AGENT, against the same months of 2025. Data from the hotel's system: 143 rooms, excluding cancellations, out-of-order and virtual rooms.
„Instead of stitching reports together from several systems, every morning I see occupancy, rates and pickup in one place. Since May our RevPAR is almost 30% higher than a year earlier.”
Enter your rooms, average rate and occupancy, then pick a scenario. The highest one is Hotel Warszawa's result.
Estimate: 30 days per month, growth applied to room revenue. Revenue, not profit. Hotel Warszawa: May-October 2026 vs 2025; every market is different.
Three steps the team goes through every morning. No stitching reports from several systems.
AGENT collects reservations, rates and occupancy from the PMS and sales channels. It adds city events and the weather forecast, because they move demand.
Revenue, front office, sales and CRM look at the same numbers. Every alert has an owner, and the effect of a decision shows up in the same reports over the following days.
See the Hotel Warszawa resultWe roll out in phases: data-source connection and KPI validation, team enablement, and stable production execution.
No. You get access to a working environment where you can run the full flow from data signal to team action. You work with the real interface, AI alerts, reports and operational workflow instead of static slides. This gives you practical proof of how the platform behaves in day-to-day scenarios.
Yes. Demo access is free and does not require a rollout commitment. There is no automatic subscription or hidden fee after the trial phase. The purpose of the demo is to validate operational fit and expected impact so you can make an informed decision on next steps.
Usually from a few days to 2 weeks. Timeline depends mostly on data-source readiness, selected module scope and team availability on the property side. Typical steps are kick-off, source connection, KPI validation and a guided working session. When source data is ready and decisions are quick, setup can move very fast.
Yes. The architecture supports both single-property operations and multi-property groups. You can work at individual property level or compare performance across the group in one decision context. Access and visibility can be configured by role, property and function to keep governance clear and practical.
No. You do not need to replace your PMS. We integrate with your current data environment, including via Agent Data Service, and build the decision layer on top of existing sources. This shortens time to value and avoids disruptive changes in daily front office and revenue workflows.
Our team supports implementation end-to-end: scope definition, environment setup, data and KPI validation, and working sessions with your users. After go-live, we stay close during the initial ramp-up to help interpret results and prioritize next actions. The goal is not only technical launch, but stable adoption and measurable execution quality.
We will show how AGENT works day to day: occupancy, rates, alerts and reports. Free and with no commitment.