Abstract
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.
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CITATION STYLE
Sharma, A., Liu, H., & Liu, H. (2020). Best Seller Rank (BSR) to Sales: An empirical look at Amazon.com. In Proceedings - Companion of the 2020 IEEE 20th International Conference on Software Quality, Reliability, and Security, QRS-C 2020 (pp. 609–615). Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/QRS-C51114.2020.00104
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