Toolio’s Allocation module is demand-driven. It calculates expected demand at the location/SKU level and uses an optimization engine to pull the ideal quantity of stock to each location as needed. This approach considers sales forecasts, inventory on hand, and supply chain constraints such as minimum presentation and safety stock targets, ensuring optimal distribution and minimizing excess or stockouts.

Yes, Toolio natively supports multiple warehouse allocation. Each store can be configured with a list of sources (warehouses or vendor locations) it can pull inventory from, with priorities and lead times defined for each source. This enables scenarios where replenishment can be sourced directly from vendor warehouses to stores, bypassing the retailer’s DC if needed.

Allocation strategies are defined at the choice (style/color) level but executed at the location/SKU level. You can customize eligible locations (using location lists or clusters), start and end dates for product life, demand type (from item plan or predicted rate of sale), and spread models (size, sales, and location curves). Inventory constraints such as minimum/maximum presentation standards and available inventory are also configurable.

Yes, Toolio supports both. Initial allocation strategies can be set up in advance of product launch, providing suggestions for cross-docking and store stocking. After launch, the system learns from actual sales and recommends ongoing replenishments to maximize sell-through potential, adjusting for seasonality, promotions, and safety stock levels.

Lead times from each source to each destination can be defined and are factored into the allocation and replenishment logic. This ensures inventory arrives at the right location when needed, supporting complex supply chain setups with multiple sources and varying transit times.