Title

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

Publication Date

12-1-2020

Document Type

Conference Proceeding

Department

Industrial and Systems Engineering

Publication Title

2020 IEEE 20th International Conference on Software Quality, Reliability and Security Companion (QRS-C)

DOI

10.1109/QRS-C51114.2020.00104

First Page

609

Last Page

615

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.

Funding Number

61877044

Funding Sponsor

National Natural Science Foundation of China

Keywords

Amazon, Best Seller Rank, e-commerce, forecasting, online marketplace

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