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 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...

In Sethi et al. introduced a particular new-product adoption model. They determine optimal advertising and pricing policies of an associated deterministic infinite horizon discounted control problem. Their analysis is based on the fact that the corresponding Hamilton-Jacobi-Bellman (HJB)...

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...

In many revenue management applications risk-averse decision-making is crucial. In dynamic settings, however, it is challenging to find the right balance between maximizing expected rewards and avoiding poor performances. In this paper, we consider time-consistent mean-semivariance (MSV)...

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...

In [21], Sethi et al. introduced a particular new-product adoption model. They determine optimal advertising and pricing policies of an associated deterministic infinite horizon discounted control problem. Their analysis is based on the fact that the corresponding Hamilton–Jacobi–Bellman...