CoderNitu / Amazon_Sales_Analysis

Analyze Amazon sales data to understand to understands sales trends

Repository from Github https://github.comCoderNitu/Amazon_Sales_AnalysisRepository from Github https://github.comCoderNitu/Amazon_Sales_Analysis

Amazon_Sales_Analysis

Have to conduct a detailed year-wise analysis of Amazon sales data to understand sales trends by identifying key metrics and other factors and show the meaningful relationship between attributes.

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๐—œ๐—ป๐˜€๐—ถ๐—ด๐—ต๐˜๐˜€:

โฆฟ Top 5 Gross Profit Margin Categories:

Cosmetics, Households, Office Supplies, Clothes, and Baby Food are the top-performing categories in terms of gross profit margin.

โฆฟ Profit Percentage by Sales Channels:

Online sales contribute to 44% of the total profit, while offline sales contribute to the remaining 56%

โฆฟ Profit Percentage by Customer Preferences:

High-priority customer preferences generate 38% of the total profit, followed by the least priority (25%), medium (22%), and cancels (15%).

โฆฟ Monthly Trends:

February, July, and November exhibit the highest number of orders, while March, June, and August show the Lowest order volumes.

โฆฟ Profit Percentage by Regions:

Europe and Sub-Saharan Africa are the most profitable regions, contributing 25% and 28% respectively to the total profit. Other significant regions include Asia (14%), Australia and Oceania (11%), Central America and the Caribbean (6%), and Middle East & North America (13%).

โฆฟ Most Profitable Countries:

Djibouti and Myanmar emerge as the most profitable countries within the regions analyzed.

๐—ง๐—ผ๐—ผ๐—น๐˜€ ๐—ฎ๐—ป๐—ฑ ๐—ง๐—ฒ๐—ฐ๐—ต๐—ป๐—ผ๐—น๐—ผ๐—ด๐—ถ๐—ฒ๐˜€:

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๐—ฃ๐—ฟ๐—ฒ๐˜€๐—ฒ๐—ป๐˜๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—Ÿ๐—ถ๐—ป๐—ธ: https://rb.gy/tjhgua

๐——๐—ฎ๐˜€๐—ต๐—ฏ๐—ผ๐—ฎ๐—ฟ๐—ฑ ๐—Ÿ๐—ถ๐—ป๐—ธ: https://project.novypro.com/myWUP2

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Analyze Amazon sales data to understand to understands sales trends


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