AMAZON SALES ANALYSIS By leveraging Data Analytics & Visualization Technologies

This Amazon Sales Analysis examines key trends, metrics, and insights derived from Amazon's sales data. The study aims to identify sales patterns, top-performing products, customer preferences, and the impact of marketing strategies. Using various data sources, including sales reports, inventory data, and customer reviews, the analysis employs statistical techniques and visualization tools to uncover actionable insights. The findings highlight revenue growth drivers, seasonal fluctuations, and opportunities for optimization. The study also acknowledges challenges such as data limitations and biases. Based on the results, recommendations are provided to enhance sales performance, improve customer satisfaction, and refine marketing strategies.

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Publication Details

Journal
International jounal of information technology and computer engineering.
Published
2025-06-12
DOI
https://doi.org/10.62647/ijitce2025v13i2spp184-191
Primary Topic
Impact of AI and Big Data on Business and Society
Type
article
Field-Weighted Citation Impact
0.00
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article

AMAZON SALES ANALYSIS By leveraging Data Analytics & Visualization Technologies

Mohammed Omar Azhar, Akbar Bin Amar, Dr. Md Zainlabuddin
International jounal of information technology and computer engineering.
Impact of AI and Big Data on Business and Society
article

AMAZON SALES ANALYSIS By leveraging Data Analytics & Visualization Technologies

Mohammed Omar Azhar, Akbar Bin Amar, Dr. Md Zainlabuddin
article en

Abstract

This Amazon Sales Analysis examines key trends, metrics, and insights derived from Amazon's sales data. The study aims to identify sales patterns, top-performing products, customer preferences, and the impact of marketing strategies. Using various data sources, including sales reports, inventory data, and customer reviews, the analysis employs statistical techniques and visualization tools to uncover actionable insights. The findings highlight revenue growth drivers, seasonal fluctuations, and opportunities for optimization. The study also acknowledges challenges such as data limitations and biases. Based on the results, recommendations are provided to enhance sales performance, improve customer satisfaction, and refine marketing strategies.

International jounal of information technology and computer engineering.Vol. 13(2s)
GS Engineering (United States) (US), North Shore Diabetes and Endocrine Associates (US)
Openalex Percentile: Top 84%
Impact of AI and Big Data on Business and Society
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