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Objective - The e-commerce store wants to create an annual sales report for 2022. So that, Can be understand their customers and grow more sales in 2023.

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absingh113/Excel-Projects-For-Data-Analysis

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Excel-Projects-For-Data-Analysis

Sample Questions Solution

• Compare the sales and orders using a single chart

• Which month got the highest sales and orders?

• Who purchased more- men or women in 2022?

• What are the different order statuses in 2022?

• List the top 10 states contributing to the sales.

• Relation between age and gender based on number of orders?

• Which channel is contributing to maximum sales?

• Highest selling category? etc.

Sample Insights

• Women are more likely to buy compared to men (~65%)

• Maharashtra, Karnataka, and Uttar Pradesh are the top 3 states (~35%)

• Adult age group (30-49 yrs.) is max contributing (~50%)

• Amazon, Flipkart and Myntra channels are max contributing (~80%)

Conclusion to improve store sales:

--> Target women customers of the age group (30-49 yrs.) living in Maharashtra, Karnataka, and Uttar Pradesh by showing ads/offers/coupons available on Amazon, Flipkart, and Myntra

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Objective - The e-commerce store wants to create an annual sales report for 2022. So that, Can be understand their customers and grow more sales in 2023.

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