Feed StockIQ your product mix, on-hand levels, lead times, and demand history. The AI right-sizes every reorder point and safety stock, flags overstock and stockout risk, optimizes material nesting, and projects exactly how much cash you can release.
Set your product mix, on-hand value, lead times, and demand on the left. The engine runs real inventory math — EOQ, safety stock under lead-time variability, dynamic reorder points, and ABC/XYZ classification — and returns a complete right-sizing plan with the cash it frees.
Define the inventory
Set your catalog parameters and hit Generate inventory plan.
| SKU | Class | On-handToday | TargetAI | ROP | Safety | EOQ | Status |
|---|
Estimates use standard inventory-science models — economic order quantity (EOQ), safety stock from the √(lead-time · demand-variance) convolution at the chosen service-level Z, dynamic reorder points, and ABC/XYZ classification by dollar usage and demand CV. Validate against your ERP demand history and supplier MOQs before committing to PO changes.
A catalog-aware optimizer that thinks like your best planner — and never misses a reorder point.
Computes the economic order quantity and dynamic reorder point for every SKU, balancing ordering cost against carrying cost to the unit.
Sizes safety stock from combined lead-time and demand variability at your target service level — not a flat days-of-supply rule.
Projects demand with trend and seasonality, and feeds the forecast straight into reorder math with a visible confidence band.
Segments the catalog by dollar usage and demand volatility so policy effort lands on the SKUs that actually move the bill.
Lays out the densest cutting nest for your sheet and part geometry, then prices the scrap and raw material it recovers.
Quantifies overstock, stockout risk, and WIP, and projects the working capital freed by right-sizing the whole catalog.
Real inventory science, wrapped in a one-click workflow.
SKU count, unit cost, annual demand, on-hand value, lead times, order cost, and the variability you live with.
Trend and seasonality models build a per-SKU forecast with a confidence band that drives the reorder math.
EOQ, safety stock, and reorder points are recomputed against service-level targets and supplier constraints.
A ranked set of moves with cash freed, carrying cost saved, ABC/XYZ tiers, and a per-SKU reorder table.
Apprend Technologies brings AI-driven inventory optimization to manufacturers of every size. Free the cash, kill the stockouts, and cut the scrap — without missing a shipment.
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Demo site — any username and password will work.
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