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Built an interactive Power BI dashboard to analyze e-commerce sales performance, revenue trends, product performance, and key business KPIs, helping turn raw sales data into clear and actionable business insights.
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hopify-style store dashboard, AI workflow connections, product cards and automation icons
Nice concept. Connecting store data with AI workflows can make e-commerce operations much more efficient.
Developed an interactive Power BI dashboard to analyze e-commerce sales performance across Flipkart, Amazon, and Meesho. The dashboard provides insights into revenue, orders, return rates, delivery performance, product categories, monthly sales trends, and regional performance. Added interactive filters for year, platform, category, and region to enable dynamic analysis and business decision-making.
See exactly what’s driving revenue, where growth is leaking, and which products, channels, and customers deserve more investment.
I developed an e-commerce growth intelligence system around one question:
Where should the business invest next?
Most stores already have plenty of data. The harder problem is understanding what that data means for revenue, marketing spend, products, and customer growth.
So instead of building another dashboard full of charts, I’m structuring the system around decisions.
It brings together signals such as revenue, ROAS, CAC, conversion, product performance, repeat purchases, and retention to identify things like:
which channels deserve more budget, where acquisition is becoming inefficient, which products attract traffic but fail to convert, and where repeat customers are creating stronger value.
The goal isn’t just to answer:
“What happened?”
It’s to answer:
“What should we do next?”
Because the most useful analytics system isn’t the one with the most charts.
It’s the one that makes the next business decision clearer.
Tags: E-Commerce · Marketing Analytics · Data Analytics · Power BI · E-commerce Management
Marketing AnalyticsData AnalysisecommerceeCommerce ManagementMicrosoft ExcelMicrosoft Power BIShopify
Exactly. Analytics becomes much more valuable when it helps businesses make smarter decisions, not just track numbers.