
Building a Real-Time AI Dashboard for Business Metrics (Python + Streamlit)
I built a dashboard that pulls real-time business metrics and uses AI to generate daily insights. Here's the complete implementation. Why This Matters Most business dashboards show you WHAT happened. This one tells you WHY and WHAT TO DO about it. It combines: Real-time data from Stripe, Google Analytics, and CRM AI analysis that spots trends humans miss Automated alerts when metrics deviate from baselines The Tech Stack Streamlit (frontend) Python (backend) Stripe API (revenue data) Google Analytics API (traffic) HubSpot API (CRM) Claude API (AI analysis) Core Implementation Data Collection Layer import stripe import streamlit as st from datetime import datetime , timedelta def get_revenue_data ( days = 30 ): stripe . api_key = st . secrets [ " STRIPE_KEY " ] start = int (( datetime . now () - timedelta ( days = days )). timestamp ()) charges = stripe . Charge . list ( created = { " gte " : start }, limit = 100 ) daily_revenue = {} for charge in charges . data : if charge . status ==
Continue reading on Dev.to Tutorial
Opens in a new tab




