BHC3 Inventory Optimization
Reduce Inventory Costs and Free Up Working Capital While Lowering the Risk of Stock-outs
BHC3 Inventory Optimization™ applies advanced AI-machine learning and optimization techniques to help discrete manufacturers reduce inventory levels of parts that are required in manufacturing activities, while maintaining confidence that they will not run out of parts.
Manufacturers of expensive and sophisticated industrial equipment often allow customers to configure hundreds of individual options on their products, leading to products that could have thousands of permutations. Since the final configuration of a product is often not known until close to submission of the order for that product, manufacturing companies need to have significant excess inventory on hand to be able to fulfill their orders on time. Over the years, manufacturing 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 inventory levels by learning continually from data.
BHC3 Inventory Optimization solves this problem by considering several real-world uncertainties including variability in demand, supplier delivery times, quality issues with parts delivered by suppliers, and production line disruptions. BHC3 Inventory Optimization then dynamically and continually optimizes reorder parameters and minimizes inventory holding and shipping costs for each part.
In order to do this, BHC3 Inventory Optimization aggregates data from different disparate source systems including production orders (actuals and planned), product configurations, bills of material, inventory movements (e.g., arrivals from suppliers, consumption in a production line, intra- and inter- facility shipments), historical settings of re-order parameters, lead time and shipping costs from suppliers, and part-level costs for each location where inventory is maintained.
BakerHughesC3.ai is a joint venture that brings together the technology expertise and fullstream portfolio of Baker Hughes with C3.ai’s unique AI software for enabling digital transformation of the oil and gas industry. We believe in the power of Enterprise AI to deliver predictive intelligence that helps oil and gas businesses radically improve outcomes. The joint venture delivers the industry-leading BHC3 AI Suite, a platform to build enterprise scale AI applications 40x to 100x faster than alternative approaches. The BHC3 AI Suite delivers pre-built, configurable, high-value AI applications for predictive asset maintenance, system reliability, production optimization, inventory optimization, well placement and completion, well integrity, and yield optimization.