Power BI dashboard analyzing Super Store sales performance with forecasting insights, KPIs, and interactive visuals to support data-driven business decisions.
The Super Store Sales & Forecast Dashboard provides an analytical and predictive view of sales performance across multiple business dimensions such as regions, categories, segments, shipping modes, and states.
It enables organizations to track year-over-year growth, monitor profitability, and forecast sales for short-term planning.
- Visualize historical sales, profit, and quantity trends
- Identify high-performing product categories, states & customer segments
- Understand shipping performance and payment preferences
- Forecast sales for upcoming 15 days using analytical trend modeling
- Support strategic sales decision-making with data insights
- 📊 Power BI Desktop — interactive dashboard development
- 📂 Power Query — data cleaning, transformation & merging
- 🧠 DAX (Data Analysis Expressions) — KPIs & time-intelligence calculations
- 🗃 Data Modeling — star schema & relationships
- 📁 File Types —
.pbix,.pngpreview images
- 1.6M — Total Sales
- 175K — Total Profit
- 22K — Total Quantity Sold
- 4 — Total Number of Regions
- Monthly Sales & Profit YoY Comparison (2019 vs 2020)
- Sales by Ship Mode — Standard Class highest contributor (0.91M)
- Sales by Region — West (33%) leads followed by East, Central & South
- Sales by Segment — Consumer segment leads at 48%
- Payment Mode Distribution — COD (43%), Online (35%), Cards (22%)
- Sales by Category & Sub-Category
- Sales Per State Map Visualization
- 15-Day Sales Forecast Model
- Interactive Filters — Central, East, South, West
- Forecast reveals increasing sales trend entering the next 15 days
- West & East regions dominate revenue share
- Technology, Furniture & Office Supplies drive major profit
- Consumer segment is the highest revenue generator
- COD remains the most preferred payment method
- Standard shipping is the most profitable mode
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