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Online Retail Sales Analysis Dashboard
I built this interactive Power BI dashboard to analyze online retail sales performance and customer behavior.
Key insights covered:
📈 Monthly revenue trend and seasonality analysis
👥 Customer segmentation (Repeat vs One-time customers)
🌍 Country-wise sales volume and revenue comparison
💰 Business KPIs: Total Sales Revenue, Total Orders, Total Customers & Average Order Value
🏆 Identification of top revenue-generating customers
Tools & Skills:
Power BI | DAX | Data Modeling | Data Cleaning | Data Visualization
This dashboard helps businesses quickly understand where revenue comes from, who their best customers are, and how sales perform over time.
Open to freelance projects related to Power BI dashboards, sales analysis, and business intelligence reporting.
Thanks for checking this out! Happy to customize dashboards for different business needs.
Well structured dashboard. The combination of seasonality trends, customer segmentation, and core KPIs gives a clear view of both revenue drivers and customer behavior. Presenting this level of insight in an interactive, easy-to-read format makes it very practical for business decision-making.
Thank you so much, Varghese! I really appreciate your feedback. Glad you found the dashboard insights clear and practical for decision-making.
You’re welcome. The clarity in how trends, KPIs, and customer segments are presented really helps translate data into actionable insight. That practicality is what makes dashboards valuable for real business decisions.
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Most dashboards don’t have a visualization problem.
They have a KPI problem.
I’ve reviewed dozens of reporting systems recently and the pattern is consistent:
Metrics are defined differently across sheets
“Revenue” means one thing in finance and another in marketing
KPIs are tracked… but not tied to decisions
Dashboards look clean but don’t answer operational questions
When metric logic isn’t aligned, teams don’t have a data problem.
They have a decision problem.
That’s why I’ve started offering a structured KPI & Revenue Diagnostic Audit — focused on:
• Metric consistency
• Reporting logic
• Revenue driver alignment
• Decision-readiness
If you're building dashboards or scaling reporting systems, this layer matters more than design.
Data VisualizationData AnalysisProduct Data AnalyticsMicrosoft ExcelMicrosoft WordGoogle Sheetsexceldashboardexceldataanalytics
Completely agree. Most dashboards optimize for visuals, not decision velocity. If KPIs aren’t standardized across teams, you’re basically scaling confusion. The real leverage is in metric governance before visualization.
Project Title: Blinkit Grocery Sales Analysis Dashboard
Project Summary:
This interactive dashboard provides a comprehensive analysis of $1.20M in total sales for Blinkit, transforming raw retail data into actionable business intelligence.
Core Focus
Sales Performance: Tracking key KPIs including Average Sales ($141) and Customer Ratings (3.9).
Inventory Insights: Analyzing performance across 8,500+ items, highlighting top categories like Fruits and Snack Foods.
Outlet Analytics: Evaluating revenue distribution across Outlet Sizes (Small/Medium/High) and Geographic Tiers (Tier 1–3).
Trend Mapping: Visualizing establishment growth and outlet types (Grocery vs. Supermarkets) to identify high efficiency locations
Solid breakdown of KPIs — especially tying outlet size and geographic tier into performance.
I’m curious: did you look at whether customer ratings correlate with revenue per outlet tier? Sometimes high-rating stores in Tier 2/3 outperform purely due to loyalty concentration...
In designing this ERP dashboard for logistics finance management, the goal was to create a unified control center for enterprise financial operations. Rather than fragmenting workflows across multiple tools, the platform consolidates key elements such as revenue streams, operational costs, payroll, taxes, and invoices into a single, intuitive interface.
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