Category: Algorithmic Pricing

Pian Chen and Rui Huang | April 22, 2026

The adoption of AI and machine learning models to support pricing decisions has become widespread across industries. Property management, hospitality, retail, ride-sharing, and airline revenue management all now rely on algorithmic tools that process large volumes of data to generate pricing recommendations. These tools can create genuine efficiencies: they reduce the information burden on individual firms, allow faster responses to market conditions, and can improve resource allocation. But they also introduce a structural antitrust risk that traditional frameworks were not designed to address.

Rui Huang and Pian Chen | April 24, 2026

Multi-sided platforms have become a defining feature of modern commerce. Millions of businesses, large and small, participate in them every day. Amazon accounts for 35.7% of the $1.2 trillion U.S. e-commerce sales, and its third-party sellers generated approximately $575 billion in gross merchandise volume in 2025. Shopify powers 14% of U.S. e-commerce market and processed $378 billion in gross merchandise volume in 2025.[1] In short-term lodging, Airbnb commands approximately 44% of the global short-term rental market with revenue of $183 billion in 2024.[2] A growing range of other sectors, such as online travel and ride-sharing, also use multi-sided platforms to connect sellers and buyers.