Sergey Berezyuk Contact

Turned airlines data into precise pricing and seamless decisions

A SaaS platform unifies capacity, overbooking and promos, removing manual errors for AI‑driven pricing

My role

I led the end‑to‑end UI/UX design for the airline Revenue Operation System defining the information architecture, building high‑fidelity prototypes for the overbooking wizard, Origin-Destination matrix and advanced filters. I also ran rapid usability tests with analysts and maintained a shared component library. The design cut overbooking variance by 30% and saved analysts roughly 2 hours per day. Launch time for average promotion dropped by about 40%.

Project duration

2 years

Capacity & Overbooking Management

Business challenge

Airlines’ profit margins hinge on two tightly coupled levers: how many seats are available and how many of those seats are sold.

Airlines lose millions every quarter when seats sit empty. The legacy workflow relied on manual Excel updates did not arrive in time, creating a significant revenue leak. Decision‑makers needed a single pane of glass that showed what the aircraft could carry and what it actually sold – in real time.

Overbooking variance hovered around 30%, meaning the percentage of seats the system actually overbooked rarely matched the analyst's intent. That gap translated directly into missed revenue, regulatory risk, and a cascade of manual corrections.

Together, these pain points meant that every flight's sellable capacity was a moving target, and the organization lacked a single, trustworthy view to make rapid, data‑driven decisions.

Design challenge

Three capacity layers coexist on every flight: physical, restricted and virtual. The UI had to present all three side‑by‑side, surface the freshness of the data, and let analysts experiment with “what‑if” scenarios without drowning in spreadsheets.

My role

Designed a filter pattern that lets analysts slice by market, cabin, and date in seconds.

Designed a three‑step Overbooking Wizard: type a value, preview the resulting sellable capacity (rounded per business rules), confirm with a mandatory comment.


83%
Overbooking variance reduced
75%
Empty‑seat loss fell per quarter
2 hours/day
Analyst time saved

Analysts now make informed adjustments in seconds, the business recovers hundreds of thousands of dollars each quarter.


”Our Revenue Operating System provides a singular platform to support the entire customer journey while optimizing price and revenue performance throughout”.

FLYR x Avianca


Network Origin‑Destination

Business challenge

Pricing‑management teams lose up millions each year when they cannot quickly assess profitability across origin‑destination pairs. The existing reports were generated manually, took 4 days to compile, and were riddled with inconsistencies.

Design challange

The UI had to present a massive table with sortable columns, color‑coded KPI sparklines, and a one‑click CSV export – all while keeping the experience fluid on both desktop and tablet.

My role

Designed the OD pivot‑style table widget and flights origin-destination table flows, embedding tiny sparkline bars for revenue and load factor, and highlighting the most profitable routes.


96%
Report generation time collapsed

The newfound speed enabled analysts to act on pricing opportunities, delivering a significant revenue uplift.


”We are helping reshape Cyprus Airways into the leading airline of the Mediterranean, for and by the people of Cyprus”.

Paul Sies, CEO of Cyprus Airways


Promotion Management

Business challenge

The existing promotions workflow required multiple manual steps, causing launches to miss the optimal market window and resulting in a noticeable dip in incremental revenue.

Design challange

The UI had to present a massive table with sortable columns, color‑coded KPI sparklines, and a one‑click CSV export – all while keeping the experience fluid on both desktop and tablet.

My role

I designed a flexible Promotion Wizard. Users select regions, sub‑regions, or individual markets, add exception rules (dates, cabins, price caps), and edit all parameters. Promotion‑specific metrics are injected as extra columns, letting the same filter panel used for capacity and overbooking slice the data instantly. Real‑time validation against fare‑policy guarantees that every rule complies before the promotion is saved.


79%
Time for a new promotion dropped
12%
Lift in promo uptake

“This unique advantage provides valuable insight to help best allocate marketing dollars for high-yielding returns”.

FLYR


Advanced Filters

Business challenge

Analysts need to slice flight data across dozens of dimensions every day. The legacy filter bar was opaque, sluggish, and offered only a handful of preset options, forcing analysts to spend excessive time fiddling with the UI. While they are comfortable crafting fast, SQL‑style queries, the interface didn’t let them express that expertise, creating a painful bottleneck in their workflow.

Design challange

The new filter system had to support AND / OR / NOT logic, grouping, multi‑select, and instant preview, all while remaining fully accessible (keyboard navigation, focus states, ARIA labels).

My role

Built a Filter‑Panel pattern: collapsible groups, a safe “reset” that only clears selected filters, and validation that prevents contradictory logic.

Worked hand‑in‑hand with developers, creating the documentation while we built each feature together, guiding them step‑by‑step through the process.

2025 101 40
Filter panel

Results


70%
Filter setup time dropped
80%
Decision making time per analysis dropped

“FLYR's platform filters detailed information instantly through the Cirrus dashboard and user interface, enabling airlines to conduct greater analyses and generate reports for informed decision-making”.

Frost & Sullivan