BHC3TM 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 to meet customer service level agreements.​

Reduce inventory, improve service levels, and maximize OTIF

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BHC3 Inventory Optimization Video

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

Pain Point

BHC3 Inventory Optimization Solution

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 Bill of Materials (BOM)

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

Benefits for Energy Professionals

Benefits for BHC3 Inventory Optimization Infographic

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