BHC3™ Inventory Optimization applies advanced AI/machine learning and optimization techniques to help oil and gas companies reduce industrial parts and equipment inventory levels, while maintaining confidence that they will have stock when and where they need it.

Oil and gas companies often carry excess industrial component inventory to address uncertainties in operations or demand. This often manifests as excess inventory of industrial parts and equipment to prevent unplanned downtime. Many downstream manufacturers also carry large inventories of industrial components to prevent stock-outs or to offer better lead times and flexibility to customers. Over the years, companies have deployed Material Requirements Planning (MRP) software solutions that support planning and automated inventory management. However, most MRP software solutions were not designed to optimize industrial component inventory levels by continuously learning from data.

BHC3 Inventory Optimization considers several real-world uncertainties including variability in demand, supplier delivery times, quality issues with parts delivered by suppliers, and production-line disruptions. The application dynamically and continuously optimizes reorder parameters for industrial parts and equipment and minimizes inventory holding and shipping costs for each industrial part or product.