Pricing with Consumer Sequential Choice Model and Its Application in the Design of a Threshold-Type Promotion

Zhenzhen Yan
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Abstract

A threshold-type promotion is to discount items by a flat dollar amount when a consumer’s total consumption level exceeds a given threshold. The goal of this paper is to understand the effect of the promotion on companies’ sales and profit and propose a data-driven approach to jointly price items and optimize the promotion decisions. We propose a novel sequential choice model to characterize a consumer’s choice of multiple items in a single transaction. The sequential choice model generalizes the traditional choice model, which assumes at most one item chosen in one transaction. Based on that, we establish a general convex pricing optimization framework under mild conditions. We further show that the threshold-type promotion problem fits in the framework with an extra set of pricing constraints. Finally, we provide a data-driven approach based on the proposed pricing model to solve a joint pricing and promotion design problem. Under the assumption of exponential marginals, we estimate the choice model from sales data by a linear program and obtain the optimal price and promotion by solving a mixed-integer linear program. Finally, several numerical studies are conducted to test the efficiency of the framework and understand the effect of promotion on companies’ profit.
消费者顺序选择定价模型及其在阈值型促销设计中的应用
阈值类型的促销是当消费者的总消费水平超过给定的阈值时,以固定的金额折扣商品。本文的目标是了解促销对公司销售和利润的影响,并提出一种数据驱动的方法来共同定价商品并优化促销决策。我们提出了一个新的顺序选择模型来描述消费者在单个交易中对多个项目的选择。顺序选择模型推广了传统的选择模型,传统的选择模型假设在一个事务中最多选择一个项目。在此基础上,建立了温和条件下的一般凸定价优化框架。我们进一步证明,阈值型促销问题适用于带有一组额外定价约束的框架。最后,基于所提出的定价模型,我们提供了一种数据驱动的方法来解决联合定价和促销设计问题。在指数边际假设下,通过线性规划从销售数据中估计出选择模型,并通过求解混合整数线性规划得到最优价格和促销。最后,进行了一些数值研究,以检验该框架的有效性,并了解促销对公司利润的影响。
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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