Smarter inventory management with AI
Supply chain efficiency is one of the key success factors for any enterprise, but the complexity of inventory management decisions can be overwhelming. Machine learning and numerical optimization methods help make billions of inventory decisions, taking thousands of signals, constraints and performance goals into account.
We help our clients increase their service levels, reduce stock-outs, and improve inventory turns using advanced demand forecasting and inventory optimization solutions. We work with a range of use cases including the following:
- E-commerce: reservations for buy online & ship from store
- In-store: inventory movement from the backroom to shelves
- Warehouse: safety stock and reorder points optimization
We use advanced machine learning techniques to accurately predict demand, taking into account product properties, marketing events and market-wide signals.
Our solutions account for stock-outs, inventory turns and holding costs to properly balance underbuy and overbuy risks.
Internal and external signals
Accurate demand prediction requires a wide range of data. Our solutions account for hundreds of signals, including first-party data and external signals abut competitor prices and public events.