Value of Simple Menus with Price and Delay Sensitive Customers

Abhishek Ghosh, Achal Bassamboo, R. Randhawa
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Abstract

We consider a service firm that caters to price and delay sensitive customers by offering a menu of service grades. Each service grade is associated with posted price and delay. Noting that an optimal menu size could be quite large when there are many classes, we study whether the firm can offer a simplified menu with a few service grades without significant revenue loss. There is a well developed stream of work that studies optimal menu design for price and delay sensitive customers. Most results show that the number of grades equal the number of classes. However, in practice, we observe a handful number of grades. This raises the question of how much is the optimality gap when firm employs a simple menu relative to the optimal one. Our analysis utilizes a large system approximations where we assume that the firm has ample capacity to serve the entire market. We set up an optimization model and make use of Taylor series and asymptotic arguments to obtain the solution. We show that, under a simplified menu, the firm could lose a significant fraction of its revenue in the worst case scenario. This happens when there is significant heterogeneity between the customer classes. In contrast, noting that customer heterogeneity may typically be less extreme, we show that the firm can in fact provide a simplified menu while providing a guarantee on worst case revenue that can be obtained as a fraction of the optimal. We characterize the worst case optimal menu and provide asymptotic bounds to the worst case revenue loss as the number of customer types grow without bound. Characterization of the firm's worst case revenue loss in terms of a measure of heterogeneity can be used to guide decision making when offering a simplified menu of service grades.
简单菜单对价格和延迟敏感客户的价值
我们考虑一家服务公司,通过提供服务等级菜单来迎合价格和延迟敏感的客户。每个服务等级都与公布的价格和延迟相关联。注意到当有许多种类时,最优菜单的大小可能相当大,我们研究了公司是否可以在不造成重大收入损失的情况下提供包含几个服务等级的简化菜单。对于价格和延迟敏感的顾客来说,研究最优菜单设计已经是一项成熟的工作。大多数结果表明,年级的数量等于班级的数量。然而,在实践中,我们观察到一些等级。这就提出了一个问题:当公司采用简单菜单时,与最优菜单相比,最优差距有多大?我们的分析使用了一个大的系统近似,我们假设公司有足够的能力服务整个市场。我们建立了一个优化模型,并利用泰勒级数和渐近参数得到了解。我们表明,在简化菜单下,在最坏的情况下,该公司可能会损失很大一部分收入。当客户类别之间存在显著的异质性时,就会发生这种情况。相反,注意到客户异质性通常可能不那么极端,我们表明,公司实际上可以提供简化的菜单,同时提供最坏情况下的收入保证,可以获得最优收益的一小部分。我们描述了最坏情况下的最优菜单,并提供了最坏情况下收入损失的渐近界限,因为客户类型的数量无界限地增长。在提供简化的服务等级菜单时,根据异质性的度量来描述公司最坏情况下的收入损失,可以用来指导决策。
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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