Bundle Pricing via Learning the Market from Customer Preferences
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