AI-POWERED SUPPLY RESILIENCE PLATFORM

Act on what matters.

Causal AI that moves beyond correlation to give enterprise and government decision-makers defensible, evidence-backed supply decisions that protect and create value through disruption.

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Causal AI - doesn’t rely on historical patterns that don’t exist
Enterprise-grade, audit-ready - transparent, explainable and safe
Deployed across resources, manufacturing, defence, retail

The challenge

The Supply Resilience Dilemma

Disruption is structural.

Supply disruption is aconstant and overlapping. The organisations that win are the ones that don’tjust protect against risk, but drive competitive advantage through disruption.

Ambition-Execution Gap.

Stretched resources andlimited specialist supply resilience capability mean that organisations rely oncrisis management teams and leave substantial value on the table.

A Structural Solution

Empowering individuals tomake timely and consequential business decisions requires a structural understandingof cause and effect across deep, complex supply networks.

DIFFERENTIATED APPROACH

Why Casual AI?

Causal AI tells you what the impact will be and what to do next.

  • Causal AI identifies the structural drivers of disruption, not surface-level patterns, enabling interventions that actually change outcomes rather than describe them.
  • Unlike generative AI, every recommendation is traceable, auditable, and grounded in your actual supply chain network data, not probabilistic black-box inference from external training sets.
  • Teams receive defensible, evidence-backed recommendations that can be used to make consequential decisions quickly and with confidence.

GENERATIVE AI

Pattern matching from training data
Non-explainable and non-auditable
Statistical inference relies on precedent

AIVAREX CAUSAL AI

Supply network cause-and-effect relationships
Full audit trail, board-ready rationale
Interventional, not just descriptive

results

Proven Outcomes

2,30x

Decision Latency Reduction

From weeks to hours. Causal inference at machine speed without sacrificing rigour or auditability.

93%

OTIF Improvement

On-time, in-full delivery rates sustained even during multi-node disruption events across complex global networks.

42%

EBIT Improvement

Speedof execution advantage drives better cover and increased customer acquisitionduring disruption leading to bottom line performance.

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See Casual AI in action.

A structured, 45-minute session with a senior solutions architect. Real inference in real-timeon a real network showing real risks and real decisions.

45-minute structured session

Senior solutions architect

Replies typically within 1 business day