📊 Superstore Sales Performance Dashboard

A Power BI project analyzing sales, profit, customers, regions, products, shipping performance, and sales pipeline of a retail superstore.
The dashboard provides a 360° view of business performance with KPIs, trends, and actionable insights.

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🚀 Project Highlights

• Sales & Profit Overview — Track revenue and profitability (2014–2017)
• Profit & Discount Analysis — Identify discounting patterns and their effect on margins
• Customer & Segment Analysis — Top customers, repeat buyers, and profitability by segment
• Regional & Market Analysis — Performance across states & regions
• Product & Category Performance — Best vs. low-performing categories/products
• Shipping Performance — Delivery days, late shipments, and shipping cost analysis
• Opportunity Funnel & Sales Pipeline — Conversion funnel, opportunity stages, and win-rate tracking

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🖼️ Dashboard Preview

Overview	Profit & Discount	Customers

Regions	Products	Shipping

Opportunity Funnel

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📊 Tools & Technologies

• Power BI (Data Modeling, DAX, Visualization)
• Excel / CSV (Dataset preparation)
• GitHub (Version control & sharing)

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📈 Key Insights

• Technology is the most profitable category, while Furniture struggles with margins
• California & New York generate the highest sales, but some states show losses
• Heavy discounting in Office Supplies reduces profitability
• ~40% of deliveries are late, especially in the West region
• A few customers contribute high sales but low profit, signaling pricing inefficiencies
• The sales funnel win rate is 22%, indicating room for pipeline improvement
• Most opportunities drop at the Proposal stage, showing a need for better negotiation strategies

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📜 License

This project is licensed under the MIT License — see the LICENSE file for details.