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

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

BHC3 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

Sectors

Upstream

Midstream

Downstream

Benefits for Application Users

Data and Architecture

Enterprise AI for Inventory Optimization

Private: Optimize Inventory Levels for a $30 Billion Global Discrete Manufacturer

November 6, 2020

AI for a Resilient Supply Chain and Enhanced Energy Efficiency

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