Driving Supply to Marketplaces: Optimal Platform Pricing when Suppliers Share Inventory

Víctor Martínez-de-Albéniz, Catarina Pinto, P. Amorim
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引用次数: 4

Abstract

Problem definition: Marketplace platforms such as Amazon or Farfetch provide a convenient meeting point between customers and suppliers and have become an important element of e-commerce. This sales channel is particularly interesting for suppliers that sell seasonal goods under a tight time frame because they provide expanded reach to potential customers even though it entails lower margins. In this dyadic relationship, a supplier needs to optimize when to share inventory with the platform, and the platform needs to set the right commission structure during the season. Academic/practical relevance: We characterize supplier participation into the platform in a dynamic setting and link it to inventory levels, demand rates, time left in the season, and commission structure. This directly drives the commission structure decision made by the platform. We, thus, provide a framework to evaluate platform commission fee policies, taking into account supplier responses. Methodology: We use an optimal control framework with limited inventory supply and a stochastic demand process. We study the conditions under which the supplier accepts participation and use the platform as a sales channel. We also study the optimal commission structure that the platform should employ and the supplier procurement response. Results: We find that suppliers only participate if inventory is high relative to the time left to sell the items. As a result, the platform can only offer limited supply at the beginning of the season. Given this behavior, we find that the platform and the system are always better off with flexible pricing via fully dynamic commissions, which hurts the supplier the most (better off with less flexible commission fees). Interestingly, when the inventory decision is contingent on the platform pricing policy, the platform often finds it beneficial to commit to a static fee to incentivize the supplier to stock up, highlighting that inability to commit to fixed commissions may destroy value through double marginalization effects. Managerial implications: Our work suggests that short-term profit for the platform is maximized with fully dynamic commission fees at the expense of supplier profit. If inventory is endogenous, suppliers can retaliate by reducing their commitment at the start of the season. Despite the increased revenue obtained with the fully dynamic commission fee, the lost sales from the inventory drop incentivize the platform to opt for supplier-friendly commission fees, which are better for long-term profit.
推动供应到市场:供应商共享库存时的最优平台定价
问题定义:亚马逊或Farfetch等市场平台为客户和供应商之间提供了一个方便的会面点,并已成为电子商务的重要元素。这种销售渠道对于那些在短时间内销售季节性商品的供应商来说尤其有趣,因为他们可以扩大接触潜在客户的范围,尽管这需要较低的利润率。在这种二元关系中,供应商需要优化何时与平台共享库存,平台需要在季节中设置正确的佣金结构。学术/实践相关性:我们在动态环境中描述供应商参与平台的特征,并将其与库存水平、需求率、季节剩余时间和佣金结构联系起来。这直接推动了平台做出的佣金结构决策。因此,我们提供了一个框架来评估平台佣金政策,同时考虑到供应商的反应。方法:我们使用有限库存供应和随机需求过程的最优控制框架。我们研究供应商接受参与并使用平台作为销售渠道的条件。研究了平台应采用的最优佣金结构和供应商的采购响应。结果:我们发现供应商只有在库存相对于剩余销售时间较高时才会参与。因此,该平台只能在季节开始时提供有限的供应。考虑到这种行为,我们发现,通过完全动态佣金的灵活定价,平台和系统总是更有利的,这对供应商的伤害最大(不太灵活的佣金更有利)。有趣的是,当库存决策取决于平台定价政策时,平台通常会发现承诺固定费用以激励供应商增加库存是有益的,这突出表明无法承诺固定佣金可能会通过双重边缘化效应破坏价值。管理启示:我们的研究表明,在以供应商利润为代价的完全动态佣金中,平台的短期利润是最大化的。如果库存是内生的,供应商可以通过在季节开始时减少承诺来进行报复。尽管完全动态的佣金增加了收入,但库存下降带来的销售损失激励平台选择对供应商友好的佣金,这更有利于长期利润。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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