Data-Driven Analysis for the Operation Status of the e-Commerce Platform based on Olist

Zhenyu Xu, Yimin Tan, Xinxue Wang, Xiang Li

2022

Abstract

Based on the Olist sales data and user feedback from 2017 to 2018, this paper studies the sales situation of Olist, and discusses how enterprises can further stimulate sales, strengthen cooperation between the platform and merchants, and optimize the customer experience. The main method of this study is to use Python to visualize the data and to conduct statistical analysis on the data. Through the analysis, we find that there is a lack of customer loyalty for Olist. Platform services, cooperation with suppliers and product quality control also should be improved. The products and services provided by the platform have not reached the level of consumer satisfaction. The time difference between the platform and the supplier also exists. In this paper, specific suggestions are given to solve the existing problems of Olist. These suggestions can also be applied to other e-commerce platforms with similar operating conditions as Olist to increase sales and customer satisfaction.

Paper Citation

in Harvard Style

Xu Z., Tan Y., Wang X. and Li X. (2022). Data-Driven Analysis for the Operation Status of the e-Commerce Platform based on Olist. In Proceedings of the 1st International Conference on Public Management, Digital Economy and Internet Technology - Volume 1: ICPDI; ISBN 978-989-758-620-0, SciTePress, pages 859-867. DOI: 10.5220/0011836600003607

in Bibtex Style

@conference{icpdi22,
author={Zhenyu Xu and Yimin Tan and Xinxue Wang and Xiang Li},
title={Data-Driven Analysis for the Operation Status of the e-Commerce Platform based on Olist},
booktitle={Proceedings of the 1st International Conference on Public Management, Digital Economy and Internet Technology - Volume 1: ICPDI},
year={2022},
pages={859-867},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011836600003607},
isbn={978-989-758-620-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Public Management, Digital Economy and Internet Technology - Volume 1: ICPDI
TI - Data-Driven Analysis for the Operation Status of the e-Commerce Platform based on Olist
SN - 978-989-758-620-0
AU - Xu Z.
AU - Tan Y.
AU - Wang X.
AU - Li X.
PY - 2022
SP - 859
EP - 867
DO - 10.5220/0011836600003607
PB - SciTePress