Article published on · Updated on · By DAWAP, the publisher of CIAMA
Prepare a purchasing decision with the right data
Planning replenishment means comparing what is available, what is inbound and what is selling. A recommendation without visible assumptions is difficult to discuss.
We bring these references into a warehouse replenishment view. It helps purchasing and logistics prepare a shared decision using cockpit data.
What changes in daily work
- Identify warehouses and references needing review.
- Project the sales pace over a chosen horizon.
- Compare the projection with stock and inbound quantities before deciding.
Features in detail
Procurement
Start with the warehouse
The overview brings together available and inbound quantities, current stockouts and estimated stockout dates where available. Select a warehouse to review the relevant lines.
A projection you can explain
The calculation divides 90-day sales by three, multiplies the result by the selected horizon of one to twelve months and rounds up to a whole unit. Data can be exported for review.
This sales-pace projection does not automatically deduct current or inbound stock, nor does it model seasonality or supplier lead times by itself. Teams retain the purchasing decision.
API: keep logistics references consistent
GET /api/warehouse/warehouses lets your tools retrieve warehouse identifiers used in this work. For a source supplying Default stock, GET /api/inventory/default-warehouse/stocks/by-product-external-id/{externalId} returns the applied stock representation for its product.
These reads support integration references; they are not a recommendation-calculation API for all warehouses. Available contracts are described in the CIAMA API documentation.
Project sales before placing an order
A team selects a warehouse and range, then prepares a two-month projection. For an item with 90 units sold over 90 days, the displayed calculation projects 60 units over that horizon: 90 ÷ 3 × 2.
This is a calculation example, not a customer result. Before deciding what to order, the buyer compares the projection with stock, inbound quantities, lead times and seasonality. The projected figure is not an automatic net requirement.
This edition looks back at CIAMA’s evolution. The month is an editorial milestone in the product story, not a production deployment date.