Revenue Management Forensics in Adriatic Wings Custom Case Solution & Analysis

Evidence Brief: Revenue Management Forensics

1. Financial Metrics

• Load Factor: Maintained at 82 percent to 85 percent across primary routes, yet profitability remains negative.
• Yield Trends: Revenue per Available Seat Kilometer (RASK) has declined by 14 percent over the last 24 months.
• Break-even Requirement: The airline requires a 12 percent increase in average fare to achieve net neutrality at current cost structures.
• Ancillary Revenue: Currently accounts for less than 4 percent of total revenue, significantly below the regional peer average of 11 percent.

2. Operational Facts

• Fleet Composition: 12 aircraft consisting of a mix of narrow-body jets and turboprops, leading to inconsistent seat maps for RM logic.
• Network Structure: Hub-and-spoke model centered in Zagreb, with 60 percent of traffic originating from or terminating in Western Europe.
• RM System: Utilizing a legacy Expected Marginal Seat Revenue (EMSRb) model based on three-year historical rolling averages.
• Booking Windows: 70 percent of seats on high-demand summer routes are sold 90 days prior to departure at the lowest fare buckets.

3. Stakeholder Positions

• Petar Markovic (CEO): Prioritizes market share and visible aircraft occupancy; views empty seats as a failure of marketing.
• Luka (Head of RM): Defends current automated settings; claims external market volatility renders forecasting models inaccurate.
• Sales Team: Pressures RM to keep low-fare buckets open to maintain relationships with large travel agencies and tour operators.
• Board of Directors: Demanding an immediate turnaround in cash flow to avoid a state-led restructuring or forced merger.

4. Information Gaps

• Competitor Real-time Pricing: The case lacks specific data on how Low-Cost Carrier (LCC) entry on the Frankfurt and London routes has shifted the price elasticity of the business segment.
• No-show Rates: Specific data on no-show patterns per fare class is missing, preventing accurate overbooking calculations.
• Customer Segmentation: Lack of granular data on the percentage of passengers who are price-insensitive corporate travelers versus price-sensitive tourists.

Strategic Analysis

1. Core Strategic Question

• How can Adriatic Wings stop the revenue leak caused by premature seat exhaustion and recapture yield from late-booking business travelers without losing the volume necessary to cover fixed operational costs?

2. Structural Analysis

The airline faces a structural mismatch between its inventory control and market demand. Applying a Value Chain lens reveals that the Revenue Management function is the primary point of margin erosion. The high load factor is a false positive; it indicates that prices are set too low, too early. Competitive rivalry from LCCs has commoditized the leisure segment, while Adriatic Wings continues to use a legacy model that fails to protect inventory for high-yield, late-booking segments.

3. Strategic Options

4. Preliminary Recommendation

Adriatic Wings must immediately implement Aggressive Inventory Protection. The current forensics show that the airline sells out too early, effectively subsidizing leisure travelers with seats that could be sold to business travelers at 3x the price in the final 14 days. Protecting the top 15 percent of inventory for late-stage bookings is the fastest path to cash flow positivity.

Implementation Roadmap

1. Critical Path

• Day 1-15: Audit and recalibrate the EMSRb parameters. Manually override the automated system to restrict low-fare availability on the top 5 most profitable routes.
• Day 16-45: Implement strict fare fences. Introduce a 21-day advance purchase requirement for all promotional fares to prevent business travelers from cannibalizing low-cost inventory.
• Day 46-90: Launch a shadow RM desk to monitor competitor price movements hourly and adjust buckets in real-time, bypassing the slow weekly update cycle.

2. Key Constraints

• Data Integrity: The legacy system often produces fragmented data. Implementation success depends on the ability of the IT team to provide clean, daily booking curves.
• Organizational Culture: The CEO and Sales team are addicted to high load factors. Moving to a yield-first model will result in visible empty seats, which may cause internal panic and pressure to revert to old habits.

3. Risk-Adjusted Implementation Strategy

To mitigate the risk of a total volume collapse, the airline should apply these changes to the Zagreb-London and Zagreb-Frankfurt routes first. These routes have the highest density of business travelers. Use the revenue gains from these pilots to fund the broader system rollout. If load factors on pilot routes drop below 65 percent, the RM team will trigger a tactical 48-hour flash sale to recover volume without permanently lowering the fare structure.

Executive Review and BLUF

1. BLUF

Adriatic Wings is currently dying from high occupancy. The 85 percent load factor is a symptom of chronic underpricing and poor inventory control. The airline is selling its most valuable product too early to the least profitable customers. To survive, management must shift focus from filling seats to maximizing the value of the final 20 percent of inventory. Immediate intervention in the revenue management logic is required to protect late-booking business yields. This is an execution problem, not a market demand problem.

2. Dangerous Assumption

The most dangerous assumption is that historical booking curves from the last three years are valid predictors of future demand. This ignores the structural shift caused by new low-cost competitors who have permanently altered consumer booking behavior and price expectations in the Adriatic region.

3. Unaddressed Risks

• Competitor Retaliation: If Adriatic Wings raises effective prices by closing buckets, LCCs may flood those specific time slots with even lower fares to seize the remaining market share, leading to a terminal decline in volume. (Probability: High; Consequence: Severe)
• IT System Failure: The legacy RM infrastructure may not support the frequency of manual overrides or the complexity of new fare fences, leading to ghost inventory or pricing errors. (Probability: Medium; Consequence: Moderate)

4. Unconsidered Alternative

The analysis focused on fixing the current network. The team should consider a radical capacity reduction. By grounding the least efficient 20 percent of the fleet (the turboprops) and focusing exclusively on high-yield jet routes during peak hours, the airline could reduce its break-even load factor and simplify its RM challenges significantly.

5. Verdict

APPROVED FOR LEADERSHIP REVIEW