Proactively Intervene to Minimize Supply Chain Disruptions
Key Capabilities
Unified supply chain digital twin
Unified supply chain digital twin
- Represent all supplier facilities, transportation hubs, local news data, and logistics data within one network graph
- View material in transit and recommend routing changes to minimize disruption
- Maintain a near-real-time view of all inventory, orders, and transit
Manage supplier portfolio
Manage supplier portfolio
- Perform supplier resiliency analyses and identify bottlenecks
- Update and expedite purchase orders based on new production and assembly requirements
- Analyze contracts and replenishment policies at-scale to identify and remediate pricing outliers
Machine learning-based risk prioritization
Machine learning-based risk prioritization
- Highlight the most important risks across supply chain using AI techniques
- Predict delays based on weather forecasts and anticipated transportation issues
- Use local news data on strikes, unrest, and violence to forecast issues
Robust “what-if” scenario modeling
Robust “what-if” scenario modeling
- Play out simulations based on alternate routes and shipments
- Leverage recommended scenarios that optimize logistics costs, maximize margin, and more
- Override ERP after modeling new parameters and forecasting downstream impacts
Scope
C3 AI Supply Network Risk offers benefits across various logistics types, inventory and industries
Freight Type
Air
Ocean
Ground
LTL / FTL
Goods
Raw Materials
Purchase Parts
Sub-Assemblies
Finished Goods
Industries
Industrial Manufacturing
Oil & Gas
Aerospace & Defense
Healthcare
Retail
Utilities
Consumer Packaged Goods
Benefits for Application Users
Planners
Anticipate emerging risks to the supply chain, receive recommendations to remediate issues and take action directly to update ERP and transportation parameters.
Analysts
Highlight anomalies across suppliers, reduce inefficiencies across the network and debottleneck risks in the supply chain.
Executives
Gain visibility into the global supply chain and monitor key financial and logistics metrics in near real time.
Data and Architecture
