Predict and Mitigate Supply Chain Disruptions

AI Insights to Mitigate Supply Chain Risks

C3 AI Supply Network Risk applies advanced machine learning and generative AI to help enterprises identify current and future risks across the whole supply chain from inbound supplier delays to order delivery risks, and manufacturing bottlenecks. The application leverages generative AI to highlight hidden risks and provides an intuitive user interface for supply chain teams to conduct natural language queries and rapidly access insights. C3 AI Supply Network Risk helps operators avoid disruptions by proactively identifying risks, understanding root causes, assessing tradeoffs with scenario analyses, and initiating preemptive actions to maintain a resilient and performant supply chain.

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Demonstrated Benefits


Increase in on-time-in-full
(OTIF) performance


Increase in product


Inventory service levels

FREE eBook on AI Supply Chain Management.


C3 Generative AI:
Supply Network Risk

Get precise and explainable supply chain insights

C3 AI Supply Network Risk is now available with a natural language interface that uses generative AI to rapidly identify relevant supply chain insights and data to uncover emerging risks in your supply network and avoid disruptions. C3 Generative AI is also available as a standalone capability to deploy on your existing supply chain data and applications.

Learn more about C3 Generative AI

Reduce Risk Across the Supply Network

Pain Point
C3 AI Supply Network Risk Solution

Supply chain nodes documented across disparate systems

Unified supply chain digital twin represents all supplier and internal nodes and movements

Disconnected supplier data

Supplier portfolio, redundancies and resiliency are presented for introspection and bottleneck analysis

Rules-based analytics are reactive and too late to impact OTIF performance

Machine learning to predict key supply risks and generative AI-enabled search to surface remediations

Planners cannot simulate impacts to supply chain modifications

Robust ”what-if” scenario modeling within the application enables planners to evaluate hypotheses

External data like news and weather are not utilized

External disruptions (weather, strikes, unrest, etc.) are included to present a 360-view of the key supply chain risks

Customer Viewpoints

Lorenzo Simonelli
Lorenzo Simonelli

Lorenzo Simonelli

Chairman and CEO

“Most people start off by thinking they can do it themselves. It is not easy to digitally transform. Go to the experts. C3 AI provides that expertise.”

Scott Parent
Scott Parent

Scott Parent

VP, Enterprise Engineering & Technology

“What the teams found is ingestion is happening about 80% faster with about 1/10 the resources”

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C3 AI Supply Network Risk - Free Demo