Disruption Detection Before It Hits

Multi-agent crews monitor suppliers, routes, and inventory. Semantic triggers fire when anomalies match historical disruption patterns.

The Problem

Late Detection

Teams learn about disruptions after they cascade through the supply chain.

Data Silos

Supplier data, logistics data, and inventory live in separate systems.

Manual Correlation

Analysts spend hours connecting dots across systems during a crisis.

The HatiData Fix

Semantic Triggers

Auto-fire alerts when patterns match historical disruption signatures.

What-If Branches

Test mitigation strategies in isolated branches before committing.

Unified Data Layer

One query spans suppliers, routes, and inventory. No ETL needed.

See It in Action

SELECT s.supplier_id, s.name, s.region,
       semantic_rank(m.embedding, 'port congestion delay') AS risk
FROM suppliers s
JOIN_VECTOR supply_chain_memories m
  ON semantic_match(m.embedding, 'port congestion delay', 0.7)
WHERE s.region IN ('APAC', 'EMEA')
ORDER BY risk DESC LIMIT 10;

48h

earlier disruption detection

<50ms

trigger evaluation

85%

fewer supply chain surprises

Related Use Cases

Manufacturing & Quality Control

Agents correlate sensor data with historical defect patterns. Semantic triggers catch quality drift before defects ship.

View use case

Retail & Personalization

Real-time personalization powered by persistent customer memory. Recommendations improve with every interaction.

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DevOps & Incident Response

Build institutional knowledge from past incidents. Semantic search surfaces relevant runbooks and resolutions instantly.

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