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This Superstore Sales Dashboard gives an overview of sales performance across time, regions, customers, and products. Total sales are 1bn, with peak performance in Q4, showing strong seasonal trends. California and Texas are the top-performing states, while New York and Houston lead at the city level. Binders and Phones are the best-selling sub-categories. The dashboard also highlights key customers contributing to revenue and includes filters for deeper analysis. Overall, it helps in identifying trends and making data-driven decisions.
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Built a Live Adaptive Sales Dashboard that updates itself — no manual edits, no refresh stress.
Here’s what I explored 👇
→ A dashboard that stays alive as your data changes
→ AI agents pulling, analyzing, and rewriting everything in real time
→ Fully generated inside Paper’s connected canvas
Stack I used:
• Cursor Agent (Claude-powered)
• Zapier MCP → fetches live data from Google Sheets
• Paper MCP → rewrites the dashboard directly on canvas
How it works:
Update sales data in Google Sheets
Run a single prompt in Cursor
Agent pulls + analyzes data (KPIs, trends, insights)
Instantly updates the entire dashboard UI on Paper
What gets generated automatically:
• KPI cards with smooth animations
• Monthly sales trend (line chart)
• Category-wise performance (bar chart)
• Region distribution (doughnut chart)
• Recent transactions + AI insights
Feels like dashboards are no longer static products…
they’re becoming living systems powered by agents.
A look at a recent motion project for RexCommand.
This video explores how AI governance, risk tracking, and policy enforcement are visualized through structured dashboards and system-level oversight.
This stands out not just because of how it looks, but because of the value it communicates. It feels like you had a clear audience in mind while creating it. How did you define your target audience before starting, and did that influence your final outcome?
Developed a Sales Performance Dashboard in Power BI to analyze revenue trends, profit margins, and customer behavior across multiple regions and time periods.
The dashboard provides key insights into yearly and monthly sales performance, category-wise contribution, and regional distribution. It also tracks KPIs such as net sales, return rates, and year-over-year growth.
Interactive filters enable stakeholders to drill down by region, category, and date, helping identify trends, optimize sales strategies, and improve business decision-making.
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