From Data to Dollars: How Companies Are Leveraging Large Complex Data and AI in Pricing and Operational Decisions
Companies are increasingly harnessing vast granular datasets, machine learning, and generative AI to inform pricing strategies and improve operational decisions. These technologies offer powerful tools for efficiency and personalization—but also raise critical questions for competition policy and consumer protection. Antitrust authorities have sought information and issued guidance regarding the types of data being collected, the AI technologies being deployed, and their impact on consumers and on markets.
In this in-person seminar, Professor Maxime Cohen will explore how firms are using complex data and AI tools to transform pricing and operational decisions. He will discuss:
- Data Collection Practices: The kinds of consumer, contextual, and behavioral data companies are gathering and some related risks and challenges.
- Experimental Methods: How firms use controlled experiments to estimate price elasticities and continuously optimize pricing and other operational decisions.
- Machine Learning Applications: The role of machine learning in enabling personalized and dynamic pricing decisions and recommendations.
- Generative AI Potential: How GenAI can democratize access to sophisticated tools and which guardrails should be put in place to ensure fair and ethical practices.
Professor Cohen’s insights will provide antitrust practitioners with a deeper understanding of these emerging technologies, allowing them to better assess the fast-evolving landscape of pricing and data-driven decision making.
Moderator:
Alison Hole, Vice President, Charles River Associates
Hosts:
Adriana de la Huerta, Principal, Charles River Associates
Isabel Tecu, Principal, Charles River Associates
Click here to register.
