Competing for Amazon's Buy Box: A machine-learning approach
A key feature of the Amazon marketplace is that multiple sellers can sell the same product. In such cases, Amazon recommends one of the sellers to customers in the so-called `buy-box'. In this study, the dynamics among sellers for occupying the buy-box was modelled using
a classification approach. Italy's Amazon webpage was crawled during ten months and features from products analyzed to estimate the more
relevant ones Amazon could consider for a seller occupy the buy-box. Predictive models showed that the more relevant features are the ratio
between consecutive prices in products and their number of assessment received by customers.
GOMEZ LOSADA Alvaro;
DUCH BROWN Nestor;
2019-12-18
SPRINGER VERLAG
JRC116601
1865-1348 (online),
https://link.springer.com/chapter/10.1007%2F978-3-030-36691-9_38,
https://publications.jrc.ec.europa.eu/repository/handle/JRC116601,
10.1007/978-3-030-36691-9_38 (online),
Additional supporting files
| File name | Description | File type | |
|---|
