Case Study — AI

Real-time AI Business Dashboard

A command center dashboard that digests multi-channel business metrics, forecasting sales and generating automated PDF insights via AI.

Project Overview

A unified enterprise intelligence console. It ingests financial data, advertising metrics, and site analytics, compiling them into a beautiful web dashboard. The built-in GPT-4 agent generates monthly performance insights and alerts managers of anomalies or sudden traffic dips in plain language.

Key Features & Scope

Real-time data visualization widgets using Chart.js with responsive resizing

Predictive cash-flow forecasting graphs using Prophet ML libraries

One-click PDF reporting containing AI-authored executive summaries

Instant Slack notification integrations for security and budget alerts

System Architecture

Next.js App Router for frontend portals. The analytical engine resides in serverless AWS Lambda functions triggered by Cron schedules or API Gateway triggers.

Client InterfaceNext.js / React
──────▶
Backend CoreNode.js / Express
──────▶
Database NodePostgreSQL (RDS)
Database: PostgreSQL (RDS)
Deployment: AWS Lambda & Vercel
94
Performance
98
Accessibility
96
Best Practices
100
SEO
Verified Production Metrics
Next.jsChart.jsExpress.jsOpenAI APIAWS LambdaPostgreSQLTypeScript

Keywords and concepts covered in this project case study:

Real-time AI Business DashboardChart.js analytical dashboardGPT-4 automated business insightsServerless Next.js AWS Lambda dashboard

Get an instant cost estimate and development timeline breakdown using the interactive estimator.

Estimate Project Cost