I will detect anomalies in your supply chain data

Are you losing money to supply chain disruptions you didn't see coming?

I built a real-time anomaly detection system using Topological Data Analysis (TDA) a branch of mathematics that detects hidden patterns in complex networks that threshold-based tools miss entirely.

This system detects:

Port blockages and canal closures before they cascade

Freight fraud rings using phantom shipments (zero delay signal invisible to normal monitoring)

Geopolitical route shutdowns

Customs inspection bottlenecks

Weather-driven port congestion.

I model your shipping network as a mathematical structure called a simplicial complex, compute persistent homology (H H H), and measure topological changes using Wasserstein distance. When the network topology shifts abnormally, you get an alert with the exact nodes and routes causing the anomaly.

Send:

Your shipment tracking data (CSV, JSON, or database export)

Or I generate realistic synthetic data matching your network size

Get:

Full anomaly report with timestamps

Visual heatmap showing affected routes

List of contributing facilities and edges

Severity classification (low/medium/high/critical)

Recommendations for rerouting.