Real-Time Supply Chain Command Center: Predictive Analytics Dashboard - @ Google AiStudio

Project Overview

This project involved developing a high-performance, interactive analytics dashboard—replicating the visual sophistication and data density of commercial tools like Power BI—specifically tailored for global supply chain management. The application provides end-to-end visibility, anomaly detection, and AI-powered prescriptive insights to mitigate bottlenecks and optimize logistics costs.

Technology Stack: React (with TypeScript), Tailwind CSS, Gemini API (for prescriptive modeling and risk scoring), Recharts (for data visualization) My Role: Lead Front-End Architect, Data Visualization Specialist, AI Integration & UX Design

1. The Problem: Data Fragmentation and Decision Latency

Traditional supply chain reporting relies on static, daily, or weekly reports, leading to delayed decision-making. Operational teams faced three main challenges:

• Lagging Indicators: Data was retrospective, meaning bottlenecks (e.g., customs delays, inventory shortages) were only identified after they occurred, leading to high expedited shipping costs.

• Low Interactivity: Existing platforms were slow to filter and query, preventing users from quickly drilling down into specific regions, suppliers, or product SKUs.

• Lack of Foresight: Analysts spent excessive time manually correlating disparate metrics (weather data, geopolitical news, carrier performance) to forecast risk, a task unsuited for human processing speed.

The core challenge was to transform passive data viewing into active, real-time operational control.

2. The Solution: Real-Time, Prescriptive Analytics

The Supply Chain Command Center Dashboard was built to provide superior performance and integrate deep AI intelligence directly into the user workflow.

• Custom Power BI Replication: Engineered a highly performant front-end using React and TypeScript to handle massive data sets and complex visualizations (Sankey diagrams, heatmaps, geo-spatial tracking) with zero noticeable rendering lag.

• Gemini Predictive Risk Score: Instead of generic alerts, the Gemini API analyzes live telemetry, global news feeds, and historical patterns to generate a "Shipment Risk Score" (0-100) for all in-transit inventory, predicting the probability of delay or loss within the next 72 hours.

• Prescriptive Recommendations: The AI feature includes a natural language summary that offers prescriptive actions for high-risk shipments (e.g., "Recommend shifting Supplier X components from Port A to Port B due to predicted labor strike activity").

• Tailwind UI Flexibility: Utilizing Tailwind CSS allowed for a highly responsive, modular design, letting users save customized views and pin essential KPI cards (e.g., OTIF: On-Time, In-Full rate) based on their specific roles (e.g., procurement vs. logistics).

3. My Design Process: Actionability Over Density

The design methodology focused on synthesizing complex data into actionable steps, prioritizing a modern, customizable aesthetic.

• UX Research: Role-Based Dashboards: Conducted interviews with supply chain managers and operational staff to map specific information requirements by role, which informed the creation of distinct, interchangeable widget sets.

• Data Hierarchy & Visual Language: Established a clear visual hierarchy where the most important metric (Risk Score) is prominent, followed by geographical context (map) and then granular detail (tables). Used a consistent, intuitive color palette (Green for efficiency, Yellow for moderate risk, Red for critical) to communicate status at a glance.

• Interactivity & Performance: Optimized data fetching and rendering logic (using memoization and debouncing in React) to ensure filters and drill-downs executed sub-second response times, crucial for real-time operations.

• Information Design: Used the Recharts library to build custom, highly readable charts that dynamically update the visual context based on user-defined filters, mimicking the smooth interaction of enterprise BI tools.

4. The Final Product: Optimized Logistics and Cost Savings

The Supply Chain Command Center Dashboard delivered an enterprise-grade analytics experience with the agility of a custom application. It provided logistics teams with the predictive power needed to move from reactive mitigation to proactive optimization, leading to an estimated 15% reduction in expedited shipping costs and a significant improvement in on-time delivery metrics during the pilot phase. The product sets a new standard for performance and intelligence in supply chain visibility.