Milvus Lab is a commercial and revenue strategy advisory for businesses built on tickets, seats, and admissions — helping leadership teams turn pricing, distribution, ancillary revenue, and demand data into measurable margin.
Airlines, theme parks, water parks, zoos, hotels, and cinemas are converging on the same commercial problem: how to price, sell, and forecast demand for a fixed, perishable inventory of tickets and seats. The businesses that solve it well — with the right pricing architecture, distribution mix, and AI-driven forecasting — capture the margin their competitors leave on the table.
Each engagement draws on the same core toolkit, sized to what the business actually needs — a full commercial transformation, or a focused fix to one revenue line.
Enterprise-wide commercial strategy and organizational transformation — the roadmap, governance, and sequencing to move a business from where it is to where its P&L needs it to be.
Building ancillary and loyalty revenue as disciplined, standalone lines rather than afterthoughts — from onboard retail to annual passes and membership products.
Sales channel strategy, B2B and B2C distribution mix, and the systems and partner relationships that get the right offer to the right customer at the right cost of sale.
Demand forecasting and pricing automation, including hands-on experience scoping and deploying live AI/ML forecasting models — not slideware.
Pricing architecture and ticketing strategy across dynamic, tiered, and bundled models — built from two decades of owning pricing P&L at airlines, parks, and hotels directly, not advising from the outside.
The right format depends on the problem — a seat at the table, a scoped advisory sprint, or a session for your team or students.
Stepping directly into an executive seat to lead the commercial transformation from the inside, not just advise on it from the outside.
Scoped engagements against a specific problem and timeline — a commercial diagnostic, a pricing overhaul, a distribution strategy, or a transformation roadmap.
Keynotes and sessions on commercial strategy, pricing, and AI-driven revenue management for executive education programs and industry conferences.
A selection of outcomes from direct commercial leadership roles — not consulting engagements, but the P&L she was personally accountable for.
Commercial executive with 25+ years leading revenue, pricing, and distribution for airlines, theme parks, hotels, and retail — across private equity, turnaround, and high-growth environments. Managing Director experience with full P&L accountability, most recently leading global revenue management for Parques Reunidos' 62 parks and hotels, and before that owning 85% of Vueling's revenue as Director of Revenue Management, Pricing & Distribution.
An early mover on applying AI to pricing and demand forecasting, with live deployments at both Vueling and Parques Reunidos that delivered measurable commercial results — not pilots that stalled, systems now running in production.
Aviation is the deepest bench of experience — but the same commercial discipline applies everywhere admission, seat, or capacity is the product.
Network carriers, low-cost carriers, and turnaround situations
Single parks and multi-site portfolios
Admission, membership, and annual pass programs
Room revenue, packages, and ancillary spend
Ticketing and concession revenue strategy
Dynamic pricing and distribution for ticketed events
Milvus Lab is built around a simple idea: the commercial strategy, the transformation roadmap, and the business case need a senior operator who has actually owned the P&L before — not a large team billing by the hour.
For the technical build — the AI/ML models, data pipelines, and dashboards — Milvus Lab partners with a vetted network of data science and analytics specialists, scoped and directed the same way Iliana has done it before: leading business, IT, and data science teams together to ship something that runs in production, not a proof of concept that stalls.
Led directly — commercial diagnosis, transformation roadmap, business case
Data science and engineering partners, brought in and directed as needed
Accountable for the outcome — revenue, EBITDA, and adoption — through to results
Whether it's a full commercial transformation or a focused pricing and distribution fix, the first conversation is a diagnostic — no pitch deck required.