大数据智能推荐技术应用下供应链决策优化研究

Supply Chain Optimization under the Adoption of Big Data Intelligent Recommen-dation Technology

摘要:

大数据智能推荐技术是如今互联网行业的一种常见技术，它可以根据用户的特定行为将用户进行标签分类，以便精准地进行商品或广告推送。运用大数据智能推荐技术向特定标签人群进行精准化推送则可以大大提高直播带货的销量，本文以直播带货供应链为背景，研究大数据智能推荐技术水平在何种条件下才能使得供应链中的零售商引入直播带货盈利的问题。并得出了以下结论，对于中小型电商企业而言，只有在大数据智能推荐技术水平处于一定范围，且直播带货的潜在市场份额也满足一定条件时，零售商才能从中盈利。

Abstract:

Big data intelligent recommendation technology is a common technology in the Internet in-dustry today. The use of big data intelligent recommendation technology to accurately push to specific tag groups can greatly increase the sales volume of live streaming, this article uses live streaming as the background, to study the conditions under which the big data intelligent recommendation technology level can enable retailers in the supply chain to introduce the profitability of live streaming. And came to the following conclusions, for small and medi-um-sized e-commerce companies, only when the big data intelligent recommendation tech-nology level is in a certain range, and the potential market share of live broadcast delivery meets certain conditions, retailers can profit from it.