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stokrio

Forecasting & planning

What to order, when, and exactly how much

Reorder points and order quantities from the forecast, your service level and each supplier's measured lead time — grouped by supplier and one click from a purchase order.

Replenishment table grouped by supplier with order-by dates, suggested quantities and revenue at risk
The real product, shown with demo data.

How replenishment & reorder planning works

Stokrio calculates a reorder point and order-up-to level for each product from its demand forecast, lead-time variability and target service level (higher for A-class products), rounds to MOQs and case packs, shows the order-by date and revenue at risk, and turns the selection into draft purchase orders per supplier.

Statistical safety stock
Covers both demand and lead-time variability at your service level. A-class products get more protection, C-class less.
Measured lead times
Lead times come from your own received purchase orders, shown next to what the supplier quoted.
MOQs and case packs
Suggestions are rounded to minimum order quantities and carton sizes, and edits are checked against them.
Fit to budget
Enter an open-to-buy budget and Stokrio funds the products most likely to stock out first.
Order-by dates and revenue at risk
See when each order must be placed and how much revenue a late order would cost.
One-click purchase orders
Selected lines become draft purchase orders, one per supplier.

Frequently asked questions

How is safety stock calculated?
SS = z × √(σ²(lead-time demand) + d̄² × σ²(lead time)), using the forecast error, your service level and the variability of supplier lead times. Intermittent products use a bootstrap of lead-time demand.
What if I have a fixed purchasing budget?
Use Fit to budget. Stokrio allocates the budget case pack by case pack, covering urgent needs on the highest-risk products first.
Are bundles and kits handled?
Yes. Bundle sales count as demand for each component, and manufactured products drive demand for their raw materials.

Screenshots use illustrative demo data, not customer results.

See Stokrio with your own data

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