Supply chain / operations intelligence
Data Engineering · Operational Intelligence · Anomaly Detection
Intelligent Supply Chain Exception Control Tower
An operational control tower over a synthetic warehouse-and-transport event stream. It detects exceptions (late shipments, picking delays, SLA-breach risk, stockouts), scores delivery-delay risk, and ranks what needs attention now with a transparent priority score. It runs live on this page.
Data modeling, exception engine, risk scoring, product engineering
TypeScript · React · deterministic analytics · rules + risk scoring
What you can try
Operations teams often see what happened long after it matters. The harder question is what requires attention right now, across orders, warehouses, inventory, and shipments.
The goal was a control tower that surfaces and ranks live exceptions with enough evidence to act: which orders are late or about to breach SLA, which are stuck in the warehouse, and which SKUs are heading for stockout.
Architecture
Synthetic event stream
Orders, warehouses, SKUs, stages and timings (seeded, reproducible)
Standardized event model
Received → picking → packing → dispatch → transit → delivered
Feature & dwell calculations
Stage dwell, SLA proximity, inventory cover
Exception engine
Late shipments, picking and packing delays, SLA risk, stockouts, each with evidence
Delay-risk & priority score
Transparent, decomposed factors, not a mystery score
Control tower
Live overview, exception queue, root cause, inventory risk
- Seeded, reproducible synthetic operational event stream modeled after common warehouse/transport workflows (not a real ERP/WMS)
- Standardized order-lifecycle event model with per-stage dwell timing
- Exception engine detecting late shipments, picking/packing delays, SLA-breach risk, and stockout risk, each with cited evidence
- Interpretable delivery-delay risk from SLA position, dwell, transit and priority
- Transparent priority score decomposed into severity, value, customer priority, and risk
- Live control-tower UI: overview, prioritized exception queue, root-cause breakdown, and inventory risk
A working control tower you can use on this page: watch orders across stages, work a prioritized exception queue, open any exception for its evidence and priority breakdown, and see which SKUs are most exposed. It shows operational intelligence honestly, over a clearly-synthetic stream.
Want to catch operational problems before they blow up?
Open the control tower above. Like it? Let's build one on your real operations.