RevDeck: Real-Time Sales & eCommerce Analytics Dashboard - @ Google AiStudio - Live Demo
Project Overview
RevDeck is a high-performance, responsive SaaS and eCommerce analytics dashboard designed to transform raw business metrics into actionable revenue intelligence. Developed using React, TypeScript, and Tailwind CSS, the application replicates a modern UI prototype, focusing on speed, visual clarity, and data integrity to empower sales analysts, marketing managers, and executives.
Technology Stack: React (with TypeScript), Tailwind CSS, Recharts (Data Visualization Library), Single Page Application (SPA) Architecture
My Role: Lead Front-End Developer, Data Visualization Architect, UI/UX Implementation Specialist
1. The Problem: Data Fragmentation and Decision Lag
The client's existing process relied on static weekly reports and siloed data sources (CRM, marketing platform, ERP), leading to several critical inefficiencies:
Decision Lag: Insights were historical, meaning key performance indicators (KPIs) like conversion rates or inventory levels were several days old, making real-time intervention impossible.
Siloed Views: Analysts could not easily correlate marketing spend with customer lifetime value (LTV) or instantly link campaign performance to recent order volume.
Poor User Experience: Legacy interfaces were slow, non-responsive, and visually overwhelming, increasing the time required for decision-makers to extract value from the data.
The objective was to create a unified, real-time command center that could support rapid, data-driven revenue operations.
2. The Solution: Modular, High-Fidelity Data Visualization
RevDeck was architected as a modular component library that provides various levels of data granularity, from high-level summary cards to detailed transaction tables.
Summary Cards for Instant KPIs: The top section features immediate, up-to-date metrics (e.g., Total Revenue, New Customers, Conversion Rate) with clear percentage change indicators, enabling executives to grasp the business health at a glance.
Rich Charting Components: Leveraged Recharts to implement complex data visualizations, including:
Revenue Trend Line Charts: Visualize performance over time.
Geographic Sales Heatmaps: Identify regional demand centers.
Funnel and Cohort Analysis: Track customer drop-off and retention.
Responsive Recent Orders Table: Implemented a highly performant and sortable table view for granular data (recent orders, customer details), ensuring the dense information remains legible and usable on various screen sizes.
Data Integrity with TypeScript: The entire component structure was strictly typed using TypeScript to enforce a contract between the data API and the UI, eliminating common runtime errors associated with inconsistent data structures.
3. The Design Process: Prototype Replication & Utility-First Development
The design process prioritized replicating the high-fidelity UI prototype accurately while ensuring maximum performance and responsiveness.
Component-Driven Development (CDD): We broke down the prototype into reusable components (e.g.,
StatCard,LineChartWrapper,DataTable), accelerating development and ensuring visual consistency across the dashboard.Tailwind CSS for Velocity: Tailwind's utility-first approach allowed for rapid styling and iteration, enabling the creation of complex layouts (like multi-column grids and overlapping cards) and seamless responsiveness across desktop and tablet devices without writing extensive custom CSS.
Readability and Hierarchy: Applied color theory and font weight hierarchies to direct the user's eye, ensuring the most important metrics (e.g., negative changes or high-value figures) stood out clearly.
4. The Final Product: Accelerated Insights and ROI
The implementation of the RevDeck Dashboard successfully transitioned the client's operations from reactive reporting to proactive revenue management.
95% Reduction in Data Retrieval Time (Time from platform login to key insight).
Improved Campaign Optimization: Marketing teams leveraged real-time data to adjust budget allocations mid-campaign, resulting in a 9% increase in campaign Return on Investment (ROI).
Enhanced Forecasting Accuracy: Sales teams now have a clearer, more immediate picture of pipeline health, improving quarterly revenue forecasting accuracy by 6%.


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Raghavendra Mahendrakar
Enterprise UX & Product Design Leader | Driving AI-First | HCI | Design Thinker
🌐 www.raghav4web.in