A PYMNTS Company

Detecting RPM with Unsupervised Machine Learning

By  |  March 7, 2025

By: Valentin Forster, Jürgen Fleiß, Dominik Kowald, and Vicky Robertson

The use of data-driven techniques to investigate potential antitrust violations has expanded significantly in recent years, particularly with the integration of machine learning. However, a key challenge remains: the limited availability of labeled data for training algorithms. In a new working paper, Valentin Forster, Jürgen Fleiß, Dominik Kowald, and Vicky Robertson examine how unsupervised machine learning can be applied to identify Resale Price Maintenance (RPM) in pricing data…

CONTINUE READING…