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...

Many firms are selling different types of products. Typically sales applications are characterized by competitive settings, limited information and substitution effects. The demand intensities of single types of products are affected by the own products as well as the products of competitors....

In many revenue management applications risk aversion is crucial. In dynamic decision problems it is challenging to find the right balance between maximizing expected profits and minimizing their variance. In this paper, we present an efficient dynamic programming approach to leverage mean...

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...