Proceedings of the International Conference on Intelligent Information Systems Design and Indian Knowledge System Applications (ICISDIKSA 2026)

<Previous Article In Volume
Next Article In Volume>

End-to-End Data Analysis of Brazilian E-Commerce Transactions

Authors
Saikiran Gogineni1, *, Yuvaraju Chinnam1, Kanaka Durga Returi2, Vaka Murali Mohan3, G. Suryanarayana4
1Department of Computer Science and Engineering, Malla Reddy (MR) Deemed to Be University, Hyderabad, India
2Department of Computer Science and Engineering, Malla Reddy Vishwavidyapeeth (Deemed to Be University), Hyderabad, India
3Department of Computer Science and Engineering, Malla Reddy College of Engineering and Technology, Hyderabad, India
4Department of Computer Science and Engineering, Symbiosis Institute of Technology, Hydera-bad Campus, Symbiosis International (Deemed University), Pune, India
*Corresponding author. Email: goginenisaikiran31677@gmail.com
Corresponding Author
Saikiran Gogineni
Available Online 29 December 2025.
DOI
10.2991/978-94-6463-976-6_6How to use a DOI?
Keywords
Data analysis; Brazilian E-Commerce dataset; Customer behaviour; Product demand; RFM modelling; Cohort analysis; Time-series forecasting; Sentiment analysis; Anomaly detection; Metric-driven visualization; customer segmentation; delivery logistics; Geo Analysis
Abstract

E-commerce platforms produce substantial and varied amounts of data, which create opportunities for deriving insights about customers, products, and logistics through complete analytical procedures. This article offers an end- to-end data analysis of the Brazilian E-Commerce public dataset, which integrates multi-dimensional data types, including orders, customers, sellers, products, payments, and reviews. The study incorporates several steps like data preprocessing, feature engineering, exploratory analysis, and advanced modeling in statistics to uncover complex patterns in customer behaviors, purchase dynamics, and delivery performance. This study also offers a wide variety of analytical procedures, including cohort analysis, RFM (Recency–Frequency–Monetary) modeling, time-series forecasting, and sentiment analysis. The study also promotes metric-focused visualizations, such as churn curves, sales trend decomposition, customer lifetime value forecasts, and anomalies detection plots. Overall, the results identify key factors affecting revenue, customer satisfaction, and operational efficiency, producing a structured analytical framework for e-commerce in large datasets as well as to assist in the business strategy of the company.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the International Conference on Intelligent Information Systems Design and Indian Knowledge System Applications (ICISDIKSA 2026)
Series
Advances in Intelligent Systems Research
Publication Date
29 December 2025
ISBN
978-94-6463-976-6
ISSN
1951-6851
DOI
10.2991/978-94-6463-976-6_6How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Saikiran Gogineni
AU  - Yuvaraju Chinnam
AU  - Kanaka Durga Returi
AU  - Vaka Murali Mohan
AU  - G. Suryanarayana
PY  - 2025
DA  - 2025/12/29
TI  - End-to-End Data Analysis of Brazilian E-Commerce Transactions
BT  - Proceedings of the International Conference on Intelligent Information Systems Design and Indian Knowledge System Applications (ICISDIKSA 2026)
PB  - Atlantis Press
SP  - 82
EP  - 100
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-976-6_6
DO  - 10.2991/978-94-6463-976-6_6
ID  - Gogineni2025
ER  -