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Walmart Sales Analysis.Pt1 (SQL)

Tools used in this project
Walmart Sales Analysis.Pt1 (SQL)

About this project

This project aims to analyze Walmart Sales data, investigating top-performing products, sales trends across

different product categories, and strategies for sales optimization.

Notably, E-wallet, cash, and credit cards are nearly equally popular payment methods.undefined

Electronic accessories, food and beverages emerge as the best-selling product lines, prompting a suggestion to

diversify promotional efforts, particularly in health and beauty products.undefined

Sales peak in January and March, recommending a focus on maximizing sales during these months through

inventory adjustments and targeted marketing campaigns(In this dataset, we only have three months).undefined

In terms of revenue, food and beverages, sports and travel, and electronic accessories lead the product categories.undefined

City-wise revenue distribution is relatively uniform across the three cities.undefined

Notably, females outpace males in revenue, displaying higher purchasing activity across various product lines,

including food and beverages, sports and travel, fashion accessories, and home and lifestyle.undefined

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