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The agenda below is subject to change without notice.

Unless otherwise specified, all events take place at the Warszawa Room, Hotel Verte, Warsaw

Monday, April 28th, 2025
Time Presentation Title Affiliation and Authors Theme
6:30 - 9:30 EVENING NETWORKING EVENT -
Drinks and heavy hors d'oeurves
Hotel Verte, Pawilion Room		 AGIFORS Social Event


Tuesday, April 29th, 2025
Time Presentation Title Affiliation and Authors  Theme
8:00 - 8:45 Registration open    
8:45 - 8:55 Welcome from AGIFORS AGIFORS   
8:55 - 9:40

Keynote Address from Kamil Ślefarski, Director of Revenue Management, LOT Polish Airlines

 LOT Polish Airlines
K. Ślefarski		 Keynote Address
9:40 - 10:00 Rethinking Price Elasticity: The Competitive Dimension Sabre
B. Ozdaryal		 Price Elasticity Estimation
10:00 - 10:20 Estimating willingness-to-pay under unobserved confounders ADC (acmetric)
M. Nientker		 Price Elasticity Estimation
10:20 - 10:40 Training and Evaluating Causal Forecasting Models for Revenue Management Time-Series Wiremind
C. Pierre		 Price Elasticity Estimation
10:40 - 11:00 MORNING BREAK     
11:00 - 11:20

Estimation using marginal competitor sales information

 Erasmus University, Rotterdam School of Management
M. Tekin		 Price Elasticity Estimation
11:20 - 11:40 A Practical Perspective on “Disentangling Capacity Control from Price Optimization" PROS
J. Rauch		 Design Philosophy of RM Systems
11:40 - 12:00 Will RMS survive the Offer/Order transformation? Amadeus
T. Fiig, M. Wittman		 Design Philosophy of RM Systems
12:00 - 12:30 Sponsor Presentation - Enhancing Airline Revenue Management with Continuous Booking: A Post-Booking Strategy to Capture Demand Fluctuations in Real Time TravelX
F. Lopez Arrieta, R. Martinez		 Sponsor Presentation
12:30 - 1:30 LUNCH     
1:30 - 1:50 Outside-of-RMS Machine Learning: Boost RM Decision Making by Thinking Outside the Box Southwest Airlines
C. Youngblood		 RMS Decision Support with ML
1:50 - 2:10 Sales increment evaluation using machine learning models
 LOT Polish Airlines
B. Wójcik, K. Macielak		 RMS Decision Support with ML
2:10 - 2:30 Revenue Management AI Assistant
 Copa Airlines
L. Zavala, A.L.Carrizo		 RMS Decision Support with ML
2:30 - 2:50 Enhancing Airline Revenue Management Intelligence through Large Language Models and Machine Learning FlightBI LLC
C. Zhang		 RMS Decision Support with ML
2:50 - 3:10 AFTERNOON BREAK     
3:10 - 3:40 Sponsor Presentation - Unlocking Late-Stage Capacity Through Post-Booking Passenger Flexibility Volantio
N. Jacobsen		 Sponsor Presentation
3:40 - 4:00 A Stochastic SBLP Optimizer for Network RM with Dependent Demands Sabre
R. Ratliff
 Optimization and Overbooking
4:00 - 4:20 Scenario Based Automated Capacity Control Swiss International Airlines
T. Quadranti 		 Optimization and Overbooking
4:20 - 4:40 The Value of Information in Airline Overbooking Alaska Air Group
D. Fabrizi, A. Thorsteinson, D. Fry		 Optimization and Overbooking
4:40 - 5:00 Revenue and Load Factor Trade-off in Revenue Management PROS
D. Walczak		 Optimization and Overbooking
5:00 END OF DAY 1    
5:30 - 6:30 Optional walking tour of Warsaw Old Town
Depart from Hotel Verte		   Social Event
7:00 - 10:00 Evening Social Event
Dinner Cruise on Vistula River		   Social Event


Wednesday, April 30th, 2025
Time Presentation Title Affiliation and Authors Theme
8:00 - 9:00 Morning coffee    
9:00 - 9:20

Gen AI architectures for RM estimation

 Imperial College London Business School
K. Talluri		 GenAI in Revenue Management
9:20 - 9:40 A cutting-edge AI design using a Quantitative Large Learning Model (Q-LLM) for Enterprise Revenue Management QuadOptima
G. Ranganathan		 GenAI in Revenue Management
9:40 - 10:00 Generative AI & Large Market Models: Transforming Airline Revenue Management through Multi-Objective Optimization Fetcherr
S. Teboul		 GenAI in Revenue Management
10:00 - 10:20 Comparative Performance of Reinforcement Learning and Large Language Models for Dynamic Pricing Andriyanov & Partners Mathematicians and Economists, Decision Lab
M. Andriyanov		 GenAI in Revenue Management
10:20 - 10:35 Sponsor Presentation - Sabre Sabre
 Sponsor Presentation
10:35 - 10:55 MORNING BREAK     
10:55 - 11:15

Comparing Q-Forecasting Methods and Leveraging ML to Enhance RM Performance

 Georgia Institute of Technology
L. Garrow		 Applications of ML in Demand Forecasting
11:15 - 11:35 From Black Box Models to Analytical Models - Using ML to extract Analytical Models for Airline Demand Forecasting Amadeus
S. Nanty, T. Fiig		 Applications of ML in Demand Forecasting
11:35 - 11:55

Beyond Traditional Forecasting: Uncovering New Demand Signals for Airline RM

 Fetcherr
S. Robak		 Applications of ML in Demand Forecasting
11:55 - 12:10

Sponsor Presentation - ATPCO

 ATPCO
 Sponsor Presentation
12:10 - 1:10 LUNCH     
1:10 - 1:40 Sponsor Presentation - Amadeus Amadeus
J.-M. Sauvage		 Sponsor Presentation
1:40 - 2:00 Machine Learning for Funnel-Based Conversion Prediction and Offer Targeting
 Air India
R. More, M.K. Jain		 Dynamic Pricing and Offer Optimization
2:00 - 2:20 An Application of Swarm Optimization to Market Adaptive Dynamic Pricing Problem Sabre
T. Parriani		 Dynamic Pricing and Offer Optimization
2:20 - 2:40 Pricing Bundles for Airline Revenue Management ENPC
E. Concas		 Dynamic Pricing and Offer Optimization
2:40 - 3:00 AFTERNOON BREAK     
3:00 - 3:20 A Survey of Cargo Revenue Management Problems Delta Air Lines
D. Foster		 Cargo Revenue Management
3:20 - 3:40 Value of Bid Prices: A Monte Carlo Simulation for Cargo Revenue Management Qatar Airways
A.F. Shamim		 Cargo Revenue Management
3:40 - 4:00 Presentation award voting and conference end AGIFORS


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