AI Insights and Visibility Across the Global Supply Chain
BHC3 Inventory Optimization applies advanced AI, machine learning, and optimization techniques to help companies reduce inventory levels of parts, raw materials, and finished goods while maintaining confidence that they will have sufficient safety stock and be able to meet customer service level agreements.
Demonstrated Benefits
10-35%
reduction in inventory levels and holding costs
5-15%
decrease in shipping costs
10-20%
improvement in service levels and OTIF performance
Next Generation AI-based Supply Chain Operations
Inability to view global supply chain in real-time
Full supply chain digital twin exposes all types of inventory in real-time
Excess raw material and parts inventory
AI-based optimization recommends reorder parameter changes (e.g., safety stock)
Demand forecasts lack granularity
Part-level demand forecasts learn from actual historical variability in consumption
Cannot view part-level impacts nor explore BOM
Bill of Materials (BOM) exploration with part-specific service level details expose inefficiencies
Poor On-Time-In-Full (OTIF) delivery performance
AI-based lead time predictions and configurable alerts for projected late orders and supplier deliveries to meet OTIF targets
Disparate supply chain systems
Bidirectional integration with existing ERP and MRP systems support closed-loop action and feedback
Successful Deployments
Scott Parent
VP, Enterprise Engineering & Technology
“What the teams found is ingestion is happening about 80% faster with about 1/10 the resources.”
Jim Hannan
EVP, CEO Enterprises
“The C3 AI Suite allows us to take advantage of our existing investments while accelerating our AI transformation so Koch companies can better serve their customers.”
Henry Chang
Vice President, 3M Connect
“We’ve been engaged with the C3.ai team to figure out better processes and make user-friendly applications that enable our data scientists to draw insights and conclusions to drive outcomes.”
