Most sales applications are characterized by competitive settings and limited demand information. Due to the complexity of such markets, smart pricing strategies are hard to derive. We analyze stochastic dynamic pricing models under oligopoly competition for the sale of perishable goods. We...

Sales applications are characterized by competitive settings and changing market environments. Hence, prices have to be adjusted frequently. We analyze stochastic dynamic pricing models under competition for the sale of durable goods. Given a competitor's pricing strategy, we show how to derive...

Most sales applications are characterized by competitive settings and limited demand information. Due to the complexity of such markets, smart pricing strategies are hard to derive. We analyze stochastic dynamic pricing models under competition for the sale of durable goods. In a first step, a...

In many applications the sale of perishable products is characterized by competitive settings, e.g. the airline industry. While prices of sellers are typically observable, the inventory levels of firms are mutually not observable. We analyze stochastic dynamic pricing models in a finite horizon...

To attract potential customers and to effectively sell their inventories over time, retailers often invest in different advertising channels and apply dynamic pricing strategies. However, to compose a beneficial marketing mix in dynamic settings is challenging. The high problem complexity is...