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 a constant and overlapping. The organisations that win are the ones that don’t just 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 to make timely and consequential business decisions requires a structural understanding of cause and effect across deep, complex supply networks.

DIFFERENTIATED APPROACH

Why Causal 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

230x

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

Speed of execution advantage drives better cover and increased customer acquisition during disruption leading to bottom line performance.

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See Causal 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.

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45-minute structured session

Senior solutions architect

Replies typically within 1 business day