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Customer intelligence and personalization Price and promotion Optimization Inventory optimization Marketing spend optimization

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
Our experience

Demand prediction

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We use advanced machine learning techniques to accurately predict demand, taking into account product properties, marketing events and market-wide signals.

Break-even analysis

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Our solutions account for stock-outs, inventory turns and holding costs to properly balance underbuy and overbuy risks.

Internal and external signals

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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.

Safety stock optimization

Safety stock optimization

Optimize safety stock and reorder points.
Optimal inventory reservation

Optimal inventory reservation

Optimize inventory reservations for buy online & pick up in-store use cases.
In-store operations

In-store operations

Optimize inventory movement from the backroom to shelves.
Multi-echelon inventory optimization (MEIO)

Multi-echelon inventory optimization (MEIO)

Optimize inventory decisions across multiple facilities.
How an inventory optimization platform works

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