Allocate inventory to meet demand
Get prescriptive guidance on how your inventory should be allocated across warehouses, distribution centers, and stores to meet forecasted demand and account for uncertainties.
Manage multiple warehouses, carriers, and products
Designed for multi-region, multi-market, and multi-carrier environments with complex capacity constraint and shipping cost structures, you can manage inventory across your entire supply chain ecosystem.
Prevent order splits
Prevent order splits and minimize shipping costs by optimizing inventory allocation according to machine-learned insights about item sets that are frequently purchased together.
Get deep insight into optimization results
Leverage comprehensive visualization and what-if analysis capabilities to interpret optimization results and evaluate alternative scenarios.
Extend and customize
Jointly developed by Grid Dynamics and Dataiku, the starter kit leverages the powerful AI and ML capabilities of the Dataiku platform. The solution is implemented as a workflow where each step can be customized or extended to accommodate your business requirements.
Inventory Allocation Optimization Demo
How the Inventory Allocation Optimization Starter Kit works
The solution can incorporate procurement costs, storage capacities, network topology, shipping costs, and expected demand levels as inputs for optimization.
The optimization process is designed to handle multiple locations, shipping options, products, and constraints. The optimization procedure is completely automated and can be scheduled for regular execution.
The workflow outputs the recommended inventory allocation levels for each facility. Each recommendation can be readily operationalized and includes comprehensive diagnostic information.
Inventory allocation is a common problem in retail, especially in the apparel and fashion segments. We help retailers minimize shipping costs for both digital and brick-and-mortar channels.
Inaccurate inventory allocation can be a major problem for international brands because of the high costs of rebalancing and long-range shippings. Our starter kit helps to minimize these costs and improve SLAs.
The starter kit helps manufacturers to implement and optimize direct-to-consumer (D2C) capabilities efficiently, and stay ahead of the competition.
The starter kit can be used as a component by 3rd party logistics (3PL) companies to reduce storage and shipping costs, improve SLAs, and leverage the economy of scale.
Our latest innovations in inventory optimization
- InsightsInventory Allocation Optimization: A Starter Kit for DataikuIn this article, we describe an inventory allocation optimization solution developed by Grid Dynamics in collaboration with Dataiku. The starter kit provides advanced features such as capacity constraints and order splits minimization out of the box, and can be extended in a number of ways.Read more
- InsightsHow explainable AI helped reduce warehouse order picking time by 1/4There are two components of the order picking process that need to be optimized in order to improve efficiency: order picking time and order sorting time. In this article we will describe the business case of how we managed to reduce average order picking time (OPT) in a warehouse by 23%.Read more
- InsightsShip from store and saveTraditionally, OMSs recommend optimal routes for each order independently, often with suboptimal results. In this article we present an alternative approach that resulted in 50% less order splits, double-digit EBIT improvement, and multi-million annual savings for one of the largest department store chains in the US.Read more
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