AI Business Analytics Dashboard
A customizable business analytics dashboard that uses AI to surface insights, detect anomalies, and generate natural-language summaries from your company data — no SQL required.
What it does
AI app builders handle this project well. The core components — data visualization, dashboard layouts, and API integrations — are bread and butter for tools like Bolt, Lovable, and v0. The AI insights panel requires an LLM API integration, which is straightforward with a well-structured prompt. The main challenge is the natural language query feature, which needs careful prompt engineering to translate questions into data queries. Overall, an intermediate builder can ship a working version in a weekend. Production readiness depends on data source connectors — start with CSV/Sheets, expand to live databases later.
AI app builders handle this project well. The core components — data visualization, dashboard layouts, and API integrations — are bread and butter for tools like Bolt, Lovable, and v0. The AI insights panel requires an LLM API integration, which is straightforward with a well-structured prompt. The main challenge is the natural language query feature, which needs careful prompt engineering to translate questions into data queries. Overall, an intermediate builder can ship a working version in a weekend. Production readiness depends on data source connectors — start with CSV/Sheets, expand to live databases later.
Build prompt
Build a business analytics dashboard web app with the following features: 1) Connect to common data sources (CSV upload, Google Sheets, REST API endpoints, and a built-in SQLite database for demo data). 2) Display interactive charts (revenue over time, customer growth, conversion funnels) using Recharts or Chart.js. 3) AI-powered insights panel that uses an LLM API to analyze the connected data and surface 3-5 key insights in plain English (e.g., 'Revenue dropped 12% in March, driven by a 30% decline in the Enterprise segment'). 4) Anomaly detection that highlights unusual spikes or drops in any metric with a visual callout. 5) Natural language query bar where users type questions like 'What was our best-selling product last month?' and get a chart + text answer. 6) Customizable widget grid where users can drag and resize charts. 7) Export to PDF and share via link. Use React + TypeScript, Tailwind CSS, Recharts for visualization, and an LLM API (OpenAI or Claude) for insights. Include demo data so it works immediately on first load.
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