Burak Gokgur

Bundle Pricing via Learning the Market from Customer Preferences

Categories Finance and Economics, Optimization in Data Science, Other Topics

We study the problem of learning revenue-maximizing bundle prices when customer valuations and market composition are unknown and the firm observes only customer choices. This problem is challenging because the number of bundle-price decisions grows exponentially with the number of items offered. We develop BLMP (Bundle Pricing via Learning the Market from Customer Preferences), a … Read more

Optimizing pricing strategies through learning the market structure

Categories Optimization in Data Science, Yield Management Tags , , ,

This study explores the integration of market structure learning into pricing strategies to maximize revenue in e-commerce and retail environments. We consider the problem of determining the revenue maximizing price of a single product in a market of heterogeneous consumers segmented by their product valuations; and analyze the pricing strategies for varying levels of prior … Read more