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. This IfThenWhy Framework example defines the Retail Sales & Inventory Allocation logic required to automate omnichannel stock distribution and optimize inventory balancing across all store locations.

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

Download LB-1001 CSVs (.zip) Download LB-1001 JSONs (.zip)

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"
}