Retail Web System Upgrading with Strategic Customer Using Threshold Policy

M. Sree, K. Subrahmanyam
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引用次数: 3

Abstract

This paper mainly deals with the problems that online retailers are facing by some group of strategic customers by upgrading web system and goods pricing. A monopolist price of a product for which stylized dynamic pricing model is considered at the beginning and the price change is done on the product after considering some set of constraints based on the product availability. Due to some network issues sometimes website may get problems at that time there may be a chance of transaction failure for customer during online purchasing. To predict this probability and doing purchasing opinion depending on the belief of Transaction Success Probability (TSP).Considering this there will be a threshold policy for purchasing by customers here it is going to consider it as first one: Customers buy products only if his valuation for products is above threshold (total reduced profit) otherwise they will not take it into consideration. The threshold rises as TSP degrades, or customers turn out to be risk averse. Here we obtain the best cost of each phase and make out the best strategy for online shopping site customizing by threshold and upgrade the system when present TSP is less than threshold. The online trader turns to increase the price if he disregards strategic customer behavior. The value of disregarding strategic customer deeds is significant. The profit loss cost of disregarding strategic customer deeds grows as customer transaction cost rises.
基于阈值策略的零售网络系统升级
本文主要从网络系统升级和商品定价两方面来解决网络零售商面临的一些战略客户群体的问题。一种产品的垄断价格,一开始就考虑了风格化动态定价模型,在考虑了基于产品可用性的一组约束条件后,对该产品进行价格变动。由于一些网络问题,有时网站可能会出现问题,客户在网上购物时可能会有交易失败的机会。根据交易成功概率(TSP)的信念来预测这一概率并做出购买意见。考虑到这一点,这里将有一个客户购买的阈值策略,它将把它视为第一个:客户只有在他对产品的估值高于阈值(总减少利润)时才购买产品,否则他们将不考虑它。随着TSP的降低,或者客户变得厌恶风险,门槛就会提高。在此,我们得到了各阶段的最优成本,并在当前TSP小于阈值的情况下,制定了在线购物网站阈值定制和系统升级的最佳策略。如果在线交易者无视客户的战略行为,他就会转而提高价格。忽视战略性客户行为的价值是显著的。无视战略客户行为的利润损失成本随着客户交易成本的上升而增加。
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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