2 min read
Put the semantic layer before the algorithms
If your team can't agree what a 'sale' or 'on-hand' means, no model—however clever—will fix replenishment.
Read insightAethrixOperational data layer for inventory decisions
Turn fragmented systems into decisions your team can trust.
Aethrix connects ERP, commerce, warehouse, and finance data so operators can improve replenishment, reduce dead stock, time procurement better, and see margin clearly.
No duplicate metric debates
Built around operating decisions
Ready for analytics and AI
4
system families unified
1
shared operating layer
0
new dashboard theater required
Systems we unify
The tools are already there. The agreement is missing.
Aethrix gives operations, supply chain, and finance one clean layer across the systems they already depend on.
NNetSuite
SSAP
DDynamics
SShopify
PPOS
WWMS
33PL
FFinance
EExcel
BBI
NNetSuite
SSAP
DDynamics
SShopify
PPOS
WWMS
33PL
FFinance
EExcel
BBI
Everything important, finally in one operating view
The first win is not more reporting. It is a trustworthy layer for the decisions your team already has to make every week.
One operating language
Products, orders, inventory, procurement, and locations mapped once so teams stop debating definitions.
Cross-system visibility
ERP, commerce, warehouse, and finance signals pulled into a layer that can survive leadership questions.
Decision workflows
Built around actions like reorder, transfer, buy, or exit inventory instead of another static dashboard.
What gets installed first
Definitions your team can explain without a meeting
Before dashboards or AI, we align the entities and metrics that drive daily decisions: sellable stock, demand, open orders, lead time, allocation, landed cost, and margin.
- A shared map of SKUs, locations, suppliers, orders, and costs.
- Lineage that connects reports back to the systems of record.
- Decision outputs that point to reorder, transfer, buy, hold, or exit.
Decision layer
Semantic layer map
A shared map of the entities, signals, and constraints behind replenishment, stock exposure, procurement, and margin.
ERP
WMS
POS
Finance
Planning
AI
Shared operating layer
SKU
mapped across systems
Location
store, warehouse, 3PL
Margin
visible next to inventory
Why teams call us
The problem is rarely lack of tooling.
It is fragmented operational data, inconsistent definitions, and a planning process that falls back to spreadsheets before anyone trusts the answer.
Excel became the reconciliation layer
Sales, stock, procurement, and cost data live in different systems, so reporting only works after manual stitching.
AI projects stall before they start
Teams are told to clean data for months before they can test a real operational use case.
Core decisions are still guesswork
Reorder, transfer, buy, and exit decisions remain hard to answer consistently across the business.
Use cases
Start where decisions are already expensive
Aethrix is built for practical inventory and margin decisions, not abstract data transformation.
Replenishment
Know what to reorder, where, and how much before stockouts become emergency work.
Signal qualityDecision owner
Dead stock
See slow movers as cash, margin, and disposition risk instead of a stale inventory report.
Signal qualityDecision owner
Procurement timing
Connect supplier behavior, demand, open orders, and lead times before committing cash.
Signal qualityDecision owner
Installed layer
Between systems of record and real decisions
Not another ERP. Not just a dashboard. Aethrix sits in the gap where fragmented operating data becomes a layer teams can use.
- Connect the systems that hold demand, stock, orders, suppliers, and costs.
- Normalize definitions before automation depends on them.
- Activate outputs in dashboards, workflows, planning tools, or AI surfaces.
Between systems of record and real decisions
Decision-ready operating view
$5M-$100M
typical revenue band in focus
2/3
still plan in spreadsheets
3
entry wedges already validated
1
shared operational truth
Shared definitionsLive
SKUMapped
LocationMapped
SupplierMapped
OrderMapped
Insights
View all insightsPractical notes for teams living with the problem now.
Short, plain-language thinking on operational data, inventory, and AI readiness.
1 min read
Dead stock is a margin problem dressed as an inventory problem
Slow movers are easy to ignore until they aren't. The fix isn't a better forecast—it's earlier visibility tied to dollars.
Read insightStay close to the decision
Want a cleaner path from operating data to action?
Start with the decision that takes too long to answer. We will map the systems, definitions, and ownership needed to make it reliable.
Book a discovery call
Use this path when you want a practical view on the decision, the systems involved, and whether Aethrix should be part of the fix.
Ready to stop reconciling first and deciding second?
Tell us which operational question still takes too long to answer. We’ll help you map whether Aethrix is the right foundation.