Amazon Sales Analysis

Diksha Bansod , Ujjwal Barapatre , Mitali Nagelwar , Sameer Chatarkar , Chaitanya Wasnik

This research paper presents an analysis of Amazon sales data to uncover patterns, trends, and insights that can support business decision-making. The study focuses on sales performance, product categories, customer behavior, and regional distribution. Using data analysis techniques, the project highlights key metrics such as revenue trends, best-selling products, and seasonal demand fluctuations. The results demonstrate how data-driven insights can improve sales strategies, inventory management, and customer targeting.

Published Paper   E-Certificate

"Amazon Sales Analysis ", JETNR - JOURNAL OF EMERGING TRENDS AND NOVEL RESEARCH (www.JETNR.org), ISSN:2984-9276, Vol.4, Issue 4, page no.c191-c194, April-2026, Available :https://rjpn.org/JETNR/papers/JETNR2604287.pdf

Volume 4 Issue 4, April-2026

Pages : c191-c194

Paper Reg. ID: JETNR_233910

Published Paper Id: JETNR2604287

Downloads: 00036

Research Area: Science and Technology

Country: Wadi (CT), Nagpur (Rural),Nagpur,MH, India

Published Paper PDF: https://rjpn.org/JETNR/papers/JETNR2604287

Published Paper URL: https://rjpn.org/JETNR/viewpaperforall?paper=JETNR2604287

ISSN: 2984-9276 | IMPACT FACTOR: 9.87 Calculated By Google Scholar | ESTD YEAR: 2023

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.87 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: RJPN (IJPublication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition