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Best Seller Rank (BSR) to Sales: An empirical look at Amazon.com

机译:畅销卖家排名(BSR)到销售:Amazon.com的实证外观

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摘要

The market size of e-commerce continued to grow in recent years. Amazon, a leading technology company that provides reliable online marketplaces had attracted more than two million active sellers with over 600 million active products listed on it in a snapshot in 2019. The Amazon Best Sellers Rank (BSR) is an important indicator of how well the listed product is sold and it is a common interest to all sellers. This research investigates the algorithm for setting BSR on Amazon by developing a python-based web scrapper to collect hourly data on Amazon Web Services (AWS) server. A BSR to sales mapping study is performed using a machine learning regression algorithm. The study would help Amazon sellers to understand the mechanism of BSR and its impact on future sales.
机译:电子商务的市场规模近年来继续增长。提供可靠的网上市场的领先技术公司亚马逊吸引了超过200万活跃的卖家,在2019年的一个快照中占据了超过6亿活跃的产品。亚马逊最佳卖家等级(BSR)是一项重要指标上市产品已售出,所有卖家都是一个共同的兴趣。本研究通过开发基于Python的Web Scrapper来调查亚马逊上的BSR算法,以收集在Amazon Web服务(AWS)服务器上的每小时数据。使用机器学习回归算法执行BSR到销售映射研究。该研究将帮助亚马逊卖家了解BSR的机制及其对未来销售的影响。

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