The topic of dynamic pricing and learning has received a considerable amount of attention
in recent years, from different scientific communities. We survey these literature streams: we …

Firms increasingly deploy algorithmic pricing approaches to determine what to charge for
their goods and services. Algorithmic pricing can discriminate prices both dynamically over …

Dynamic pricing enables a firm to increase revenue by better matching supply with demand,
responding to shifting demand patterns, and achieving customer segmentation. In the last 20 …

We consider a periodical equilibrium pricing problem for multiple firms over a planning
horizon of T periods. At each period, firms set their selling prices and receive stochastic …

We consider a practical dynamic pricing problem with two substitutable products involving a
number of business rules commonly seen in practice. Demand substitution exists between …

Retailers, from fashion stores to grocery stores, have to decide what range of products to
offer, ie, their product assortment. Frequent introduction of new products, a recent business …

A decision maker (DM) must choose an action in order to maximize a reward function that
depends on the DM's action as well as on an unknown parameter Θ. The DM can delay …

High demand uncertainties, long production lead times, and short product life cycles cause
high risks for supply chain planning in the semiconductor industry. These affect all industries …

Dynamic pricing of new products has been extensively studied in monopolistic and
oligopolistic markets. But, the optimal control and differential game tools used to investigate …

Dynamic pricing is used to maximize the revenue of a firm over a finite-period planning
horizon, given that the firm may not know the underlying demand curve a priori. In emerging …