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.
Increase in on-time-in-full
Increase in product
Inventory service levels
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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.
Unified supply chain digital twin represents all supplier and internal nodes and movements
Supplier portfolio, redundancies and resiliency are presented for introspection and bottleneck analysis
Machine learning to predict key supply risks and generative AI-enabled search to surface remediations
Robust ”what-if” scenario modeling within the application enables planners to evaluate hypotheses
External disruptions (weather, strikes, unrest, etc.) are included to present a 360-view of the key supply chain risks
A global HealthTech company with 35 manufacturing sites worldwide deployed C3 AI Supply Network Risk in 4 weeks and reduced delayed sales orders by 35%.Learn more
A defense and aerospace conglomerate configured C3 AI Supply Network Risk and increased lead time prediction of late deliveries by 9x.Learn more
A global retailer used C3 AI Supply Network Risk to improve lead time predictions by 55%.Learn more