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.
Authors
- Mohammed Omar Azhar
- Akbar Bin Amar
- Dr. Md Zainlabuddin
Institutions
- GS Engineering (United States) (US)
- North Shore Diabetes and Endocrine Associates (US)
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