C3 AI Inventory Optimization applies advanced AI, machine learning, and optimization techniques enabling companies to minimize inventory levels of parts, raw materials, and finished goods while maintaining confidence that they will have sufficient inventory available to meet customer service level agreements.
reduction in inventory levels and holding costs
decrease in shipping costs
Improvement in service levels and OTIF performance
FREE eBook on AI Supply Chain Management.Download
Full supply chain digital twin exposes all types of inventory in real-time.
AI-based optimization recommends reorder parameter changes (e.g., safety stock)
Part-level demand forecasts learn from actual historical variability in consumption
Bill of Materials (BOM) exploration with part-specific service level details expose inefficiencies
AI-based lead time predictions and configurable alerts for projected late orders and supplier deliveries to meet OTIF targets
Bidirectional integration with existing ERP and MRP systems support closed-loop action and feedback
Enhanced part-level demand forecasting accuracy and dynamic inventory optimization.Learn more
“What the teams found is ingestion is happening about 80% faster with about 1/10 the resources”