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E-commerce Sales Performance Dashboard

Project Link

GitHub

About this project

The E-commerce Sales Performance Dashboard was created to analyse e-commerce sales performance and uncover patterns across revenue, orders, customers, products, and referral sources. The dashboard brings these metrics together to provide a clear view of sales performance and highlight areas that require attention.

Business Questions

  • • How is overall sales performance changing over time?
  • • Which products generate the most revenue?
  • • Which products have the highest sales volume?
  • • Which referral sources contribute the most revenue?
  • • How are orders distributed across different statuses?

Key Insights

  • • Revenue peaked around June before declining from July onward.
  • • Chair and Printer were the highest revenue products shown in the dashboard.
  • • Instagram was the highest revenue referral source shown.
  • • Revenue performance varied across the months analysed, highlighting changes in sales performance over time.
  • • Comparing revenue and quantity sold provided a clearer view of product performance.

Recommendations

  • • Prioritize high performing products such as Chair and Printer while reviewing lower performing products for improvement opportunities.
  • • Investigate the factors behind the decline in revenue after June to improve sales consistency.
  • • Evaluate Instagram campaigns and identify what makes the channel effective for generating revenue.
  • • Review product pricing and sales volume to understand differences in product contribution.
  • • Continue monitoring key performance indicators regularly to identify changes and respond quickly.

Tools Used

Power BIData CleaningPower QueryDAXExcel