Attend this track to gain a competitive edge as we cover AI, ML, and advanced analytics applications for pricing and revenue management
The Revenue Management & Pricing track features analytics leaders from top companies in traditional and non-traditional industries such as travel, hospitality, transportation, entertainment, tech, finance, media, and retail. This track promotes and disseminates the latest developments in pricing and revenue management and provides opportunities to engage with and learn from top industry experts. Discover how to use artificial intelligence, machine learning, advanced analytics, data science, and operations research to better understand and target your customers, improve your pricing practices and demand forecasts, and drive revenue, gross margin, and market share growth.
Presentations in this track include:
Adapting Forecasting Algorithms to Accommodate Disruptions
Speaker: Ulas Cakmak, Senior Director, Optimization Science at Infor and Inderjeet Singh, Senior Director, Decision Science at Infor
Associate
Professional
Anomaly Detection in Automated Buying Systems
Speaker: Pratik Mital, Research Science Manager at Amazon and Will Bishop, Data Scientist at Amazon
Associate
Professional
Are You Ready for the Post-Pandemic World? Adaptive Revenue Management Using Artificial Intelligence
Speaker: Ezgi Eren, Lead Scientist at PROS, Inc.
Associate
Professional
Data-Driven Pricing
Speaker: Kris Ferreira, Assistant Professor, Technology and Operations Management Unit at Harvard Business School
Associate
Professional
Multifamily Pricing: A Variation on a Familiar Theme
Speaker: Dom Beveridge, Principal at D2 Demand Solutions
Executive
