This is a project focusing on Sales Analysis in the e-commerce realm, that targeting on electronic products. By studying datasets that include Order ID, Product details, Quantity Ordered, Individual Price, Order Date, and Purchase Address, we aim to provide comprehensive insights that enable the organization to make informed decisions.
This project are built on a foundation of data, with a goal to answer the critical questions that drive e-commerce success. Through careful analysis and in-depth visualizations, we are committed to explaining on the following important insights:
- Year revenue: Dive into the data to uncover the year with revenue earned
- Best Months for Sales and Revenue: Explore the data further to determine the months that were the peak of sales activity and revenue achieved during a given period.
- Cities with Highest Sales: Delve into geographical insights to determine the cities that emerged as sales hubs.
- Optimal Ad Times: Leverage data analysis to identify the ideal time to display ads
- Products Often Sold Together: Discover products that tend to be frequently purchased together
- Best-Selling Products and Their Success Factors: Analyze the products that get the highest sales volume, and learn the factors that may have contributed to their overwhelming success.