Why Ocupio Exists
Revenue Managers at independent hotels make pricing decisions every day — when to raise rates, when to cut them, when to launch a promotion, when to close a discount. These decisions are harder than they look.
Most hotels rely on historical data and manual checks. But hyperlocal demand signals — city events, conferences, concerts, local holidays — are rarely captured in existing systems. By the time a Revenue Manager notices the spike, OTAs have already absorbed the demand at the current rate.
The result: hotels reprice reactively instead of anticipating demand.
The Team
Alla Bukuyazava
Co-founder
Product, growth, and hotel partnerships. Drives the revenue intelligence vision and brings it to market.
LinkedIn →
Siarhei Zhmura
Co-founder & Data Scientist
Builds the demand scoring engine. Background in data science and product engineering at Globant and Godel Technologies.
LinkedIn →Supported by BDI Accelerator · EU-Funded · Imaguru Warsaw
What We're Building
Ocupio combines pickup data, competitor rates, and real-time market signals to help Revenue Managers act earlier and with more confidence.
Decisions we support
Don't cut rates too early if weather or the calendar can still lift demand
Don't hold rates too high if pickup is weak and the stay date is close
Know when to launch a promotion
Know when to close out discounts
We also know that data alone isn't enough. Revenue Managers sometimes lack access to comprehensive market signals — and even when they have the data, they need to justify decisions to ownership. Ocupio gives them both the signal and the reasoning behind it.
The goal is to shift hotel revenue management from reactive analysis of the past to forward-looking decisions based on what's coming.