Enterprise AI to improve global energy supply chain visibility, enhance demand forecasting accuracy, optimize inventory, and mitigate supply chain risks
Our approach
Increase efficiency in supply chain operations and inventory management with AI-driven recommendations
Increase inventory visibility across global supply chain
Enhance organizational efficiency with a real-time supply chain digital twin, providing a synchronized view across business units, geographies, and systems
Optimize inventory with AI-based recommendations
Act on AI-based safety stock and reorder parameter recommendations and run scenario analysis before changing critical parameters
Improve demand forecast granularity and accuracy
Model from actual historical data, unique supplier variabilities, real-time weather, and news to improve demand forecasting performance
Featured case study
Enterprise AI for Inventory Optimization
Baker Hughes, an energy technology company, set a strategic goal to help their customers improve efficiency, increase worker health and safety, and reduce carbon emissions leveraging next-generation digital technologies. BHC3 is the world’s leading technology provider of Enterprise AI digital transformation software. BHC3 provides a cross-industry AI-application Platform as a Service (PaaS) as well as pre-built Software as a Service (SaaS) applications that help large enterprises unlock economic value from AI and machine learning technologies.
Our expertise
AI technology for optimized inventory and supply chain management
Mitigate supply chain risks
Create a digital twin of the supply chain using AI to identify risks before they occur, reducing the frequency and impact of supply chain disruptions.
Reduce inventory holding costs for improved cash flow
An AI/ML application for oil and gas companies to optimize inventory levels while maintaining service and delivery expectations, resulting in lower parts and equipment holding and shipping costs.
Proven results in weeks, not years
