AI-Driven Analytics Dashboard
Capture every click, scroll and purchase signal, transform it to vector embeddings, and unlock predictive insight—no SQL required.
By storing user-event embeddings in a vector database, Codot lets you surface patterns like “Users 90 % likely to purchase” or “Accounts showing early churn signals”—all visualised in an interactive dashboard that anyone can query in plain English.
Key Advantages
- Real-time user-event ingestion stored as embeddings
- AI intent scoring (0-100 %) on every visitor & cohort
- 360° user profile—web, mobile, email combined
- Predictive segments (churn, upsell, LTV)
- Ask analytics questions in plain language
Who Should Use It
- DTC e-commerce founders craving actionable insight
- SaaS growth teams needing product analytics & scoring
- Marketing managers seeking 1:1 personalisation
- BI teams replacing heavy SQL with semantic search
- Agencies delivering value-added client reporting
Impact on Business
- ↑ Conversion via intent-based triggers
- ↑ ROAS—budget shifts to high-intent cohorts
- ↓ Reporting time by up to 70 % (self-serve dashboard)
- ↓ Churn—early detection & win-back playbooks
- Single source of truth with governed vector store
How It Works
C
Collect
Events via JS SDK / mobile
E
Embed
Vectors stored in Qdrant
S
Score
AI intent & churn models
V
Visualise
Smart dashboard & NLQ
A
Act
Email / SMS / ad-sync
- 🔥 Hot-lead board with 90 %+ intent
- 🛑 Churn-risk alert stream
- 📊 Cohort & funnel trends in 1 click
- 💬 Natural-language query (no SQL)