The New Frontier of Data-Driven Price Optimization

Abstract

In practice, firms are often faced with pricing challenges including high demand uncertainty, limited inventory, and restrictions to conduct price experimentation. In this talk, I will discuss models and algorithms that combine machine learning and price optimization. The key idea of these algorithms is to use real-time sales data to improve pricing decisions. I will report simulation and field experiment results that show significant revenue improvement using these methods.