Avoid Supply Chain Disruptions by Mitigating Vulnerabilities Early
AI Insights to Mitigate Supply Chain Risks
C3 AI Supply Network Risk applies advanced machine learning and other AI techniques to help enterprises identify current and future risks across the whole supply chain including inbound supplier delays, order delivery risks, and manufacturing bottlenecks. The application helps supply chain operators understand root causes and initiate appropriate mitigating actions to maintain a resilient and performant supply chain.
Demonstrated Benefits
5%-10%
Increase in on-time-in-full
(OTIF) performance
3%-6%
Increase in product
availability
99+%
Inventory service levels
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
AI-based techniques predict key supply risks and recommend 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
Enterprise AI for HealthTech
A global HealthTech with 35 manufacturing sites worldwide deployed Supply Network Risk in 4 weeks and reduced delayed sales orders by 35%.
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Customer Viewpoints
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
VP, Enterprise Engineering & Technology
“What the teams found is ingestion is happening about 80% faster with about 1/10 the resources”
