AI-Powered Marketing Intelligence Platform
I designed and built a cloud-hosted platform that connects 30+ marketing data sources, processes them through 90+ AI-powered tools, and delivers real-time intelligence through an interactive dashboard — replacing weeks of manual reporting with instant, actionable insights.
Marketing data scattered across 30+ platforms — Google Analytics, HubSpot, LinkedIn, Chargebee, Google Ads, SEO tools — each requiring manual login and export.
Weekly reports took hours to compile. By the time insights reached stakeholders, the data was already stale.
Different teams used different numbers. No unified view of brand health, pipeline, revenue, and digital performance.
90+ tools • OAuth 2.1 • Real-time processing • Natural Language • Trend Detection
Automated collection • Scheduled alerts • AI-assisted workflows
Real-time ARR, MRR, churn tracking from billing APIs. Pipeline visibility from CRM. Full revenue health at a glance.
Aggregated sentiment from Google Reviews, Trustpilot, G2, Glassdoor. AI-powered auto-reply workflows for review management.
Rankings, impressions, clicks across multiple websites. Core Web Vitals, SSL monitoring, uptime tracking — all automated.
LinkedIn post performance, YouTube engagement, content gap analysis. Understand what resonates and what to produce next.
Google Trends, Reddit mentions, Wikipedia citations, news monitoring via GDELT. Stay ahead of market shifts.
90+ MCP tools accessible via natural language. Any marketing question answered in seconds, not hours. From data to decision instantly.
This is not a mockup. The platform is live, processing real data, and powering real business decisions every day.
What took a marketing team hours of manual data gathering now happens automatically, every day at 2am.
One dashboard, 7 tabs, 62 database tables — every marketing KPI in one place. No more conflicting spreadsheets.
Ask any marketing question in natural language. The AI orchestrator routes it to the right tool and returns the answer.
I'm always happy to discuss architecture decisions, AI strategy, and what it takes to turn fragmented marketing data into real-time intelligence.