电子商务网站的智能购物车应用:案例研究

Tahir Enes Adak, Mehmet S. Aktas
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引用次数: 0

摘要

在过去几年里,由于电子商务的出现,顾客的购买习惯发生了很大变化。与传统的商店销售方式相比,电子商务系统有很多好处,因为它们可以根据每个用户的需求和口味进行改变。个性化体验能够让顾客更开心,从而增加销售额,使平台更加成功。在电脑等产品的销售中,用户往往会根据产品的部件,以适合个人口味的方式将其组合在一起。为了成功规划库存管理、定价策略和营销工作,能够正确预测哪些产品组合最受欢迎是非常重要的。本立场文件的重点是如何建立一个决策支持系统软件,该软件可以预测临时拼凑起来的产品篮子的购买可能性。该决策支持系统软件的主要目标是帮助电子商务公司更好地了解客户的需求,并调整策略以满足这些需求。通过设计、构建和使用这种软件,电子商务公司可以更多地了解客户的行为方式,从而提高销售额。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Smart Cart Application for E-Commerce Websites: A Case Study
In the past few years, customers' buying habits have changed a lot because of e-commerce. E-commerce systems have a lot of benefits over traditional ways of selling things in stores because they can be changed to fit the wants and tastes of each user. Personalizing these experiences has the ability to make customers happier, which could increase sales and make platforms more successful. In sales of things like computers, users often put together a product based on its parts in a way that suits their personal tastes. To successfully plan inventory management, pricing strategies, and marketing efforts, it is very important to be able to correctly predict which product combinations will be the most popular. This position paper is focusing on how to build a decision support system software that can predict the likelihood of a buy for product baskets that are put together on the fly. The main goal of this decision support system software is to help e-commerce companies better understand what customers want and adjust their tactics to meet those needs. By designing, building and using this software, e-commerce companies can learn more about how their customers behave and increase their sales.
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