AURA MERIDIAN
Anticipates supplier failures before they reach production.
In most industrial companies, supply chain data is fragmented across SAP MM, Blue Yonder, Manhattan, and out-of-system Excel files. When the IS is in transformation, supplier, item, and order repositories temporarily become inconsistent. AURA reconciles these sources on a common ontology, even during transition periods.
MERIDIAN detects stockout risks before they reach production. It continuously qualifies suppliers, optimizes logistics flows, and argues every alternative sourcing recommendation — with your system data, not assumptions.
What MERIDIAN does for you.
MERIDIAN is the operational copilot of your supply chain. It reasons continuously on your SAP, Blue Yonder, Manhattan Active, and Kinaxis data to detect weak signals — well before teams receive consolidated reports. Where an analyst spends three weeks building a disruption scenario, MERIDIAN produces an argued recommendation in minutes, traced to source attributes.
Targeted read: only the data relevant, impactful or critical to this business enters the ontology. No full IS replication.
What you activate
from day one.
Illustrated on Supply Chain.
True beyond.
The examples above rely on the AURA MERIDIAN sector. The principles below, however, hold for any organisation steering a real operation — regardless of the business.
No generative AI reasons correctly without an explicit representation of business concepts. The model comes after meaning.
Legacy stays in place. AURA reads, never writes, never moves data. Switching cost is zero, full reversibility.
Every recommendation is tied to the source attributes that produced it. Reproducible. Contestable. Auditable.
Value arises at the intersection of constraints — finance, ops, compliance, customer. AURA arbitrates; it does not optimise one silo.