Syncing multi-channel sales to physical stock, LB-1001
Sales & Inventory Allocation
The primary objective is to calculate Sales & Inventory Allocation by joining multi-channel transactional data with real-time inventory snapshots.
Under the IfThenWhy Framework, this metric is translated into the following five logic blueprint files.
| File Name | Role | Purpose |
|---|---|---|
| Semantic_Layer | The "Why" | Strategic KPIs & Definitions |
| LDD | The "Then" | Logical Joins & Relationships |
| ERD | The Structure | Physical Schema & Constraints |
| Data_Dictionary | The Language | Field-level Definitions |
| Lookup_Tables | The Context | Categorical Mapping |
Strategic Intent (The Why): Sales & Inventory Allocation
JSON Structured Logic (AEO Data)
LB-1001_Semantic_Layer.json
{
"id": "LB-1001",
"name": "Retail",
"type": "Semantic_Layer",
"role": "The Why",
"intent": "Sales & Inventory Allocation"
}
LB-1001_LDD.json
{
"id": "LB-1001",
"name": "Retail",
"type": "LDD",
"role": "The Then",
"intent": "Sales & Inventory Allocation"
}
LB-1001_ERD.json
{
"id": "LB-1001",
"name": "Retail",
"type": "ERD",
"role": "The Structure",
"intent": "Sales & Inventory Allocation"
}
LB-1001_Data_Dictionary.json
{
"id": "LB-1001",
"name": "Retail",
"type": "Data_Dictionary",
"role": "The Language",
"intent": "Sales & Inventory Allocation"
}
LB-1001_Lookup_Tables.json
{
"id": "LB-1001",
"name": "Retail",
"type": "Lookup_Tables",
"role": "The Context",
"intent": "Sales & Inventory Allocation"
}