Real-time revenue intelligence with predictive forecasting, cohort analysis, and anomaly detection for 200+ users.
2M+ daily events with sub-second refresh and complex multi-touch attribution models.
Kafka streaming into PostgreSQL materialized views
Redis-cached rollups — 90% dashboard loads hit cache
Multi-touch attribution as nightly batch with daily increments
Prophet forecasting with confidence intervals
Sub-500ms refresh at peak. 94% forecast accuracy at 30 days. Used daily by 200+ team members.
ML-powered churn prediction identifying at-risk customers 30 days before cancellation with explainable insights.
Demand forecasting and inventory optimization across multi-warehouse e-commerce with 10K+ SKUs.
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