Success Stories
Real results from making data work for enterprises
Making Data Work for Merchandising
Situation
Despite implementing the industry's most advanced merchandising platform at the time, a North American carrier was still struggling to maximize revenue from their premium economy seating product. Despite having premium seats available prior to departure on most flights, the pricing strategy wasn't capturing customer willingness to pay, and the product was underperforming revenue expectations.
Approach
Rather than immediately implementing complex dynamic pricing, we focused on understanding customer behavior patterns and optimizing the existing pricing framework. We started by combining flown seat assignments with point-in-time EMD (Electronic Miscellaneous Document) and loyalty status data to understand what premium seats were paid versus given away as entitlement or for operational reasons. We combined this sold versus flown view with flight segmentation and competitive analysis to identify pricing sweet spots.
Solution
We developed a variable pricing strategy that could adjust premium seat prices based on route characteristics, booking patterns and competitive best practices. The solution leveraged existing revenue management and merchandising systems that simply needed more advanced business rules and decision frameworks, not additional technology investment.
Outcome
The optimized pricing strategy uncovered $100M in annual upsell revenue, exceeding the revenue plan for a more advanced dynamic pricing program. The carrier achieved this without any new technology platforms, demonstrating that strategic thinking and data-driven decision making can deliver massive value from existing assets.
Making Data Work for E-Commerce
Situation
A low-cost carrier's out-of-the-box IBE (Internet Booking Engine) from a legacy industry vendor was causing significant revenue leakage. The monolithic architecture made changes slow and ineffective. The largest impact was to abandonment rates on the payment page—unacceptably high and directly impacting revenue at a carrier not yet distributed in third party channels.
Approach
We designed a digital transformation strategy centered on an API-first architecture. Rather than a complete PSS (Passenger Service System) and IBE replacement, we modernized incrementally. We exposed core functions as APIs in an independent services layer and rebuilt the edge CX layer, adding payment and other functions that couldn't be directly integrated with the legacy back-end systems.
Solution
The new architecture separated business logic from presentation layer, enabling rapid iteration on customer experience improvements while maintaining stable, low-cost core systems. We implemented modern payment flows, streamlined checkout processes and enabled in-path up-sell through API integration.
Outcome
Payment abandonment dropped by 52% while revenue per booking increased by 20% through improved cross-sell capabilities. The API architecture enabled the carrier to launch new digital products in weeks rather than months, fundamentally changing their ability to compete in digital channels.
Making Data Work for Operations
Situation
A Latin American carrier was investing millions in fuel efficiency initiatives but couldn't measure actual savings or identify which programs were working. Operational data was scattered across multiple systems with no unified view of performance. Experienced operations research professionals were spending 80% of their time assembling and cleaning data and minimal time executing the data science necessary to create insights.
Approach
We integrated operational data including ACARS (Aircraft Communications Addressing and Reporting System), AIMS (Airline Information Management System) and flight and load planning data to create a real-time fuel efficiency dashboard. Rather than implementing black box efficiency products, we focused on connecting existing data sources. This approach delivered usable data to data professionals that could build and manage a wide range of operations data products.
Solution
The solution provided real-time visibility into fuel consumption patterns, plan versus actual flight plans and granular speed/altitude/thrust snapshots. This enabled rapid identification of savings opportunities across the block to block lifecycle of the flight. We created scorecards for dispatchers and pilots that tracked efficiency initiatives and their actual impact on fuel burn.
Outcome
The integrated data layer generated over $10M in annual fuel savings on the first application, paying back the original development costs in just 6 days. More importantly, it contributed to a $50M annual run-rate fuel savings initiative and transformed the culture around fuel efficiency by making performance visible and actionable at all levels of the operation.
Making Data Work for Customer Engagement
Situation
A growing Canadian carrier needed to modernize their marketing capabilities to compete with larger rivals. Their marketing team was managing multiple disconnected tools, making it impossible to deliver consistent, personalized customer experiences across digital channels.
Approach
We led an enterprise marketing cloud implementation that unified their marketing technology stack. The focus was on creating a single customer view and enabling sophisticated personalization without overwhelming the marketing team with complexity.
Solution
We implemented an integrated marketing platform that connected customer data, email marketing and web personalization. The solution included automated journey orchestration, behavioral triggers and dynamic content capabilities that marketing teams could manage independently.
Outcome
The unified platform achieved a 675% increase in conversion rates through advanced personalization. Marketing teams could now create and deploy sophisticated campaigns in hours rather than weeks, maintaining consistent messaging across all customer touch-points.
Making Data Work for Commercial Teams
Situation
A Latin American carrier's commercial teams were struggling with forecast accuracy. They couldn't answer basic revenue questions without weeks of analysis. Poor forecasts were impacting inventory decisions and executive confidence in data was eroding.
Approach
We designed a unified Commercial Data Layer that integrated historical and forward bookings, tickets and sold + flown revenue accounting data along with inventory and forecast history. This enabled rapid recognition of adjustments to seasonality and other revenue management system inputs. It also created self-service analytics capabilities for commercial users to leverage for monitoring forecast and market performance.
Solution
The solution combined daily booking curve snapshots, automated data quality checks, and improved segmentation logic. We built analytical views that provided instant answers to recurring business questions while maintaining a single source of truth for all commercial metrics.
Outcome
Forecast accuracy improved by 1.5-2.5% across markets, generating $7M in incremental revenue in the first 120 days of implementation—10x ROI on the Phase 1 development budget and shifted the organization from "not enough data" to "not enough data people."
Making Data Work for Digital Marketing
Situation
A startup carrier was investing heavily in digital advertising but couldn't determine which channels and dollars were driving revenue. Marketing reports showed inflated performance metrics that didn't match financial results, creating distrust between marketing and finance teams.
Approach
We conducted a forensic analysis of their web analytics implementation and customer databases. Rather than implementing new attribution tools, we focused on fixing the foundational data capture and revenue recognition issues.
Solution
We discovered critical flaws in tag management causing revenue duplication and attribution errors. The solution included rebuilding analytics tracking, implementing proper data layer specifications and creating a single view of the customer that would ultimately measure long-term growth.
Outcome
The analysis revealed 7 figure ad spend mismanagement, and through fixing basic attribution logic, the carrier could reallocate budget to truly performing channels and sunset poor ones, improving marketing ROI by double digits while restoring trust between teams.
Making Data Work for Partnerships
Situation
A Latin American carrier was experiencing significant revenue leakage through partner billing errors. Manual reconciliation processes couldn't keep pace with growing partnership complexity and millions in revenue were at risk.
Approach
We created an automated Partner Data Hub that consolidated data from multiple partnership channels and systems. The solution focused on exception management and automated reconciliation rather than replacing existing partnership systems.
Solution
The Partner Data Hub integrated data from loyalty partners, mileage agreements and ancillary partnerships. It automated error detection, simplified reconciliation workflows and provided daily visibility into partnership performance.
Outcome
The solution eliminated millions in annual billing errors, reduced the need for multiple dedicated resources required for partnership data reconciliation and enabled more granular inputs to customer lifetime value. The carrier could now confidently expand partnerships knowing revenue integrity was protected.
From the field.
Each week, one clear-eyed read on what I'm seeing inside business and data teams — the patterns behind results like these, honest takes on what's happening in the industry and what it actually means for leaders who have to make the call.