Dynamic Pricing for Non-Perishable Products with Demand Learning

Dynamic Pricing of Perishable Products with Competition

With the development of product development technology and the rapid rise of online retailing, the market competition becomes increasingly fierce. Based on consumer utility function, this article established a two-stage dynamic pricing model and discussed pricing strategies under consumer behavior and market competition. Findings indicate that product quality difference and consumer valuation d...

Pricing to accelerate demand learning in dynamic assortment planning for perishable products

Retailers, from fashion stores to grocery stores, have to decide what range of products to offer, i.e., their product assortment. New business trends, such as mass customization and shorter product life cycles, make predicting demand more difficult, which in turn complicates assortment planning. We propose and study a stochastic dynamic programming model for simultaneously making assortment and...

Pricing Policies for Perishable Products with Demand Substitution

This paper studies optimal pricing policies for a family of substitute perishable products with demand correlation. Potential buyers arrive according to an exogenous stochastic Poisson process. At each demand epoch, the arriving customer observes the set of substitute products for which there is still inventory available together with their corresponding prices. Based on this information, the c...

Electronic Companion — “ Dynamic Pricing for Nonperishable Products with Demand Learning

Dynamic Pricing for Nonperishable Products with Demand Learning

A retailer is endowed with a finite inventory of a non-perishable product. Demand for this product is driven by a price-sensitive Poisson process that depends on an unknown parameter, θ; a proxy for the market size. If θ is high then the retailer can take advantage of a large market charging premium prices, but if θ is small then price markdowns can be applied to encourage sales. The retailer h...