Replenishment optimization
Align what you buy with what actually sells—so cash stays available and shelves stay stocked.
Decision question
What should we reorder, where should it go, and how much cash should we commit?
Decision layer
Replenishment signal map
The operating view connects source systems, shared definitions, and the decision output the team needs.
Inputs
systems, entities, constraints
Layer
shared definitions and lineage
Action
decision output for the team
What breaks today
- Sell-through, sellable stock, open orders, and lead times are reviewed in different tools.
- Stores, warehouses, and finance teams use different versions of the same inventory answer.
- Urgent buys happen because risk is visible too late.
Signals required
- Current sellable stock by SKU and location
- Recent demand and known demand exceptions
- Open purchase orders and expected arrival dates
- Lead time behavior by supplier or lane
Aethrix approach
- Normalize product, location, supplier, order, and stock definitions.
- Surface stockout and overstock risk in the same operating view.
- Create a clean output for reorder, transfer, or hold decisions.
Better decisions before heavier automation
The first implementation should make the operating decision cleaner, faster, and easier to defend. Hard ROI belongs in customer-approved case studies, not invented claims.
Less time reconciling inventory before planning starts
Clearer replenishment priorities by SKU and location
A better foundation for forecasting or automation tools
Want to map this decision against your current systems?
Bring the operating question, the systems involved, and where trust breaks. We will help you see whether Aethrix is the right foundation.