Best Seller Rank (BSR) to Sales: An empirical look at Amazon.com
2020 IEEE 20th International Conference on Software Quality, Reliability and Security Companion (QRS-C)
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.
National Natural Science Foundation of China
Amazon, Best Seller Rank, e-commerce, forecasting, online marketplace
Industrial and Systems Engineering
Amit Sharma, Hongrui Liu, and Hongwei Liu. "Best Seller Rank (BSR) to Sales: An empirical look at Amazon.com" 2020 IEEE 20th International Conference on Software Quality, Reliability and Security Companion (QRS-C) (2020): 609-615. https://doi.org/10.1109/QRS-C51114.2020.00104