Revenue Management
Dynamic pricing based on demand, occupancy, booking pace, seasonality, events, competitors and booking window.
Higher ADR without sacrificing healthy occupancy.

ARTA × PollenBee
Transforming a strong accommodation concept into a professionally operated, commercially optimized and scalable hospitality brand.

The next stage is not simply selling more nights.
It is creating a professionally managed hospitality business capable of generating stronger revenue, more direct demand and long-term value.
Because we sit on both sides of the table.
We understand what every operational and commercial decision ultimately means for ownership.
Technology, distribution, revenue management, OTA connectivity and operational infrastructure.
Does it increase revenue?
Does it reduce unnecessary cost?
Does it improve the guest experience?
Does it simplify operations?
Does it increase the long-term value of the property?
If it doesn't, we reconsider it.
This is how we approach our own hospitality investments — and how we would approach ARTA.
Dynamic pricing based on demand, occupancy, booking pace, seasonality, events, competitors and booking window.
Higher ADR without sacrificing healthy occupancy.
Professional management across every channel that generates demand.
Maximum visibility with controlled distribution costs.
An integrated operating stack instead of disconnected tools.
Less manual work. Fewer mistakes. More control.
Build ARTA's own customer base.
Reduce dependency on OTA commissions over time.
Develop partnerships beyond the leisure traveller.
Create predictable demand beyond traditional OTA reservations.
Below is the actual work behind each system — the specific tasks, the tools, the cadence, and who is responsible for them.
PollenBee
Performance comes from repetition. This is the schedule the property runs on from day one.
Every channel should be managed as a sales channel.
Every guest acquired through an OTA is an opportunity to create a future direct customer.
As direct share grows, a larger portion of every booking stays with the property. The shape of this relationship is illustrative — the real values will come from ARTA’s own performance data.
One connected operating system — not eight disconnected habits.
The objective is not to make ARTA dependent on individual employees.
The objective is to create systems that allow ARTA to operate consistently as it grows.
Ownership should always understand exactly how the property is performing.
Interface shown for illustration. Values are placeholders until the property is live on our systems.
Each phase has defined work and a defined deliverable, so progress is visible rather than described.
90 days to build the foundation.
This is PollenBee’s reconstruction of the twelve-month operating picture forOct 2026 – Sep 2027, built from market data and our own benchmarking of comparable Prishtina apartment operations. It is the baseline everything that follows is measured against — and every line below can be edited to test a different cost structure.
€8,400 / month
€4,616 / month
45% margin · €3,784 / month
Annual figures are the monthly position across twelve months of operation.
Owned — no rent charged.
Staff meals.
Third-party distribution cost — the direct booking lever.
Total wages €1,450 · staff food €90 per month.
Figures modelled by PollenBee from market data. Edit any line to test a different cost structure — nothing is saved, stored or transmitted.
Let’s model it.
The model opens on PollenBee’s market baseline for the property — 10 apartments at €40 average daily rate and 70% occupancy, which is exactly the €8,400 per month shown above. Every slider moves from that baseline, so each scenario reads as a change to today’s business rather than an abstract projection.
Moved by revenue management and distribution.
Moved by pricing strategy — tiers, stay rules and lead time.
Moved by the direct booking system and corporate business.
Every slider maps back to a system described in How We Actually Do It.
Illustrative scenarios — not projections or guarantees. Every value stays editable.
Assumptions
Remaining 80% treated as OTA business.
Weighted average commission paid on reservations generated through third-party booking channels.
€45,125 a year · 44.8% margin. Cost base from the P&L above (€3,766 / month excluding OTA commission); OTA commission is recalculated from the simulator's channel mix.
This is a room-revenue and distribution-cost model, not a profit calculation. Operating costs, payroll, taxes and other expenses are excluded.
The base scenario uses the assumptions above. Apartment count and OTA commission stay identical in both.
€100,800
Gross Room Revenue€134,784
Gross Room RevenueGuest↓
OTA↓
Commission↓
ARTA
Guest↓
ARTA
€2,628
Estimated annual OTA commissions avoided
€7,885
Same revenue assumptions. Marketing and acquisition costs are excluded unless entered under advanced assumptions.
Generated mathematically from the active scenario.
At these assumptions, occupancy is the stronger lever: five additional points of occupancy adds around €7,200, versus €5,040 from a 5% ADR increase.
Moving direct bookings from 20% to 35% would reduce estimated annual OTA commissions by approximately €2,628.
Once the property runs on our systems, we validate this market model against live operating data and build a detailed commercial strategy around revenue, distribution, operating costs and long-term growth.
Build the ARTA Business Case →Illustrative model only. Results are mathematical scenarios based on user-selected assumptions and do not represent financial forecasts, guarantees or the actual performance of ARTA Apartments. Operating expenses, taxes and other costs are excluded unless explicitly shown.

One property.
A stronger operation.
A recognizable brand.
More apartments.
More locations.
The immediate objective is to maximize the performance of the existing property.
The long-term opportunity is to build an accommodation brand capable of expanding beyond a single location.
We are open to structuring the partnership around the model that creates the strongest alignment between both parties.
The figures below are illustrative starting points, not an offer. Every number is editable — adjust them to reflect what ARTA considers fair.
Professional management with agreed performance-based compensation.
A structure where both parties participate directly in the financial performance of ARTA.
A deeper long-term partnership where both sides participate in building the value of the business.
The final structure should be based on ARTA’s current performance, assets, financial position and long-term objectives.
Ownership should never have to ask how the property is doing, or who decided what.
One document, same format every month: performance against the agreed KPI set, channel mix and distribution cost, what was done, what it changed, and what happens next month.
Our commercial model is already built from market data. Access simply lets us confirm it against live operations and sharpen the partnership terms around verified numbers.
We understand capital, risk and profitability.
We understand the reality of running hospitality properties.
PMS, Channel Manager, Booking Engine, payments and automation.
We work directly with the channels generating hospitality demand.
This is our home market.
Ownership × Operations × Technology × Distribution × Local Market

× PollenBeeA stronger operation.
A stronger hospitality brand.
A business designed to grow.