Why Markdown as a Pricing Modality?
نویسندگان
چکیده
Markdown as a pricing modality is ubiquitous in retail whereas everyday-low-price (EDLP) remains relatively rare (despite its several advantages, such as simplicity). Using a stylized model, we explore whether and why retailers can use either of these pricing modalities as an effective defense against a competitor entering the market with the alternative pricing modality to sell an identical product. Various studies have shown that consumers are strategic and heterogeneous in their valuation of a product. Consumers are also shown to be regret-prone and anticipation of regret affects their purchase decisions. They may experience availability regret when unable to purchase a product due to a stockout, and high-price regret when missing an opportunity to purchase the product at a low price. Considering such factors, consumers decide whether, when and from which retailer to purchase the product. In such a market environment, we find that the possible entry of a competitor should deter retailers from using the EDLP pricing modality, but not markdown. We also identify a new reason for the markdown retailer to ration stock (in addition to the reason of discouraging consumers to wait and attempt a purchase at the discounted price). In particular, we show that inventory rationing can be used to preclude a cutthroat competition and bankruptcy after the entry of an EDLP retailer. We also quantify how consumer regret affects both retailers’ decisions and resulting profits. In particular, because of competition, the EDLP retailer is indirectly affected by consumer regret and cannot simply disregard consumer regret. We show that high-price regret and availability regret have complementary effects on the markdown retailer’s rationing strategy and the EDLP retailer’s price decision. Finally, using a proprietary price data set from a large department store, we show that ignoring regret factors causes the markdown retailer to leave up to 20% of its profits on the table. In addition, in a competitive market, the markdown retailer rations too aggressively when regret is ignored, and as a result leaves some of the forgone profit to its competitor – the EDLP retailer. Retail industry is often characterized by its slim profit margins. In such an environment, aforementioned results also suggest that retailers should seriously consider investing in developing the capacity to estimate and quantify the role of regret in consumers’ purchase decisions.*
منابع مشابه
Markdown money contracts for perishable goods with clearance pricing
It is common in practice that retailers liquidate unsold perishable goods via clearance pricing. Markdown money is frequently used between manufacturers and retailers in such a supply chain setting. It is a form of rebate from a manufacturer to subsidize a retailer’s clearance pricing after the regular season. Two forms of markdown money are percent markdown money, in which the markdown money i...
متن کاملThe application of fuzzy programming to the aggregate production planning-markdown pricing problem
It is wildly believed that the information sharing and cooperation become important now for improving the performance of the retailer and the manufacturer of the short lifcycle product. This paper suggests a way to enhance the competency of short lifecycle products by integrating the markdown pricing policy into the aggregate production planning.An Aggregate Production Planning -Markdown Pricin...
متن کاملAnalysis of cross-price effects on markdown policies by using function approximation techniques
Keywords: Approximate dynamic programming Artificial neural networks Cross-price elasticity Markdown optimization Dynamic pricing Aggregation a b s t r a c t Markdown policies for product groups having significant cross-price elasticity among each other should be jointly determined. However, finding optimal policies for product groups becomes computationally intractable as the number of product...
متن کاملA Revisit to the Markup Practice of Dynamic Pricing
In this article, we focus on the markup practice of dynamic pricing in which a firm uses real-time inventory information to decide the most opportune time to raise its sales prices. In our model, demand arrives as a Poisson process in which the instantaneous rate is a product of two terms, one dependent on current price and the other on present time. Through a mixed use of mathematical inductio...
متن کاملDesigning Optimal Preannounced Markdowns in the Presence of Rational Customers with Multiunit Demands
We analyze the optimal design of a markdown pricing mechanism with pre-announced prices. In the presence of limited supply, buyers who choose to purchase at a lower price may face a scarcity in supply. Our focus is on the structure of the optimal markdown mechanisms in the presence of rational or “strategic” buyers who demand multiple units. We first examine a complete information setting where...
متن کامل