AI for inventory, product costing, and supply chain.
Predictive intelligence grounded in reality, from optimal stock fluctuations to inventory strategy and product costing.
Optimize with industrial foresight
Optimize what you make, store, and spend before inefficiencies build up.
Manufacturers can now accurately predict material demand, production costs, and inventory needs with AI solutions that combine physics-based digital twins with advanced AI forecasting for inventory and product costing predictions.
From real-time stock visibility to cost prediction under changing energy or material conditions – even different suppliers – discover the advantages of industrial foresight grounded in physics and proven in practice.
Find balance with AI you can trust
Our tailor-made AI solutions fuse data-driven insights with a deep understanding of physical systems and the production dynamics behind them to deliver real-world benefits.
Gain the advantage of smarter procurement, reduced working capital, and improved cash flow – without sacrificing responsiveness or quality.
Balance every part and every dollar with AI you can trust.
Demand- and production-aware inventory optimization
Traditional inventory policies are static, siloed, and disconnected from real production variability, leading to either excess stock, or severe shortages.
Discover AI solutions that ensure you have the right inventory at the right place, at the right time.
Industrial AI implementation
- Probabilistic demand forecasting at SKU / customer / region level
- Integration with production schedules, capacity constraints, and lead-time variability
- Multi-echelon inventory optimization using AI-driven scenarios
Key capabilities
- Dynamic safety-stock calculation conditioned on uncertainty
- What-if simulations for demand surges, supplier delays, or line disruptions
- Policy recommendations (reorder points, lot sizes, decoupling points)
Operational benefits
- Reduced working capital
- Higher service levels with less buffer
- Fewer firefighting situations across planning and operations
AI-driven product costing and margin attribution
Product costs are often calculated using averages and assumptions that hide variability, inefficiencies, and margin erosion.
Now, you can understand true cost drivers in near real time with our AI solutions for inventory.
Industrial AI implementation
- Bottom-up cost models linking:
- Material usage
- Energy consumption
- Cycle time
- Yield and rework
- Asset utilization
- Hybrid physics + data models to allocate shared costs accurately
Key capabilities
- Dynamic cost per unit by product, batch, or customer
- Cost sensitivity analysis (“what drives margin erosion?”)
- Forward-looking cost forecasting under different operating scenarios
Operational benefits
- Accurate margin visibility by product and customer
- Better pricing and contract negotiations
- Informed make/buy and product mix decisions