Airline data have shown that the fraction of customers who choose the cheapest available fare class often is much greater than that predicted by the multinomial logit (MNL) choice model calibrated with the data. For example, the fraction of customers who choose the cheapest available fare class...

We consider a price-based network revenue management problem where a retailer aims to maximize revenue from multiple products with limited inventory over a finite selling season. As common in practice, we assume the demand function contains unknown parameters, which must be learned from sales...

In a dynamic pricing problem where the demand function is not known a priori, price experimentation can be used as a demand learning tool. Existing literature usually assumes no constraint on price changes, but in practice sellers often face business constraints that prevent them from conducting...