Bayesian solution to pricing and inventory control under unknown demand distribution

This paper addresses the simultaneous determination of pricing and inventory control with learning. The Bayesian formulation of this model results in a dynamic program with a multi-dimension state-space. We show that the state-space of the Bayesian model can be reduced under some conditions and characterize the structure of the optimal policy.