Logistics Entity Registry

The Logistics Entity Registry serves as the canonical reference for all entities used throughout transportation systems, logistics operations, moving services, freight handling, technology infrastructure deployments, warehousing networks, and knowledge graph environments.

This registry establishes standardized definitions and relationships that allow operational systems, AI agents, graph databases, retrieval systems, documentation platforms, and logistics workflows to interpret information consistently.

What Is an Entity?

An entity is a uniquely identifiable object, organization, person, location, asset, event source, service, or operational concept that exists within a logistics system.

Entities form the foundation of modern knowledge graphs and machine-readable transportation systems.

Examples:

Customer
Shipment
Vehicle
Crew
Equipment
Warehouse
Port
Data Center
Service
Route

Core Logistics Entity Classes

Customer

Customers represent organizations or individuals requesting transportation, moving, freight, storage, installation, or logistics services.

Examples:

Residential Customers
Commercial Customers
Industrial Customers
Healthcare Organizations
Technology Companies
Government Agencies

Relationships:

Customer
    ↓ requests
Service
Customer
    ↓ owns
Shipment
Customer
    ↓ located_at
Location

Shipment

Shipments represent cargo, freight, household goods, equipment, inventory, or assets being transported between locations.

Examples:

Household Goods
Commercial Freight
Medical Equipment
Technology Infrastructure
Server Systems
Industrial Machinery

Relationships:

Shipment
    ↓ transported_by
Vehicle
Shipment
    ↓ handled_by
Crew
Shipment
    ↓ delivered_to
Location

Vehicle

Vehicles provide transportation capacity throughout logistics networks.

Straight Trucks
Box Trucks
Trailers
Cargo Vans
Liftgate Trucks
Specialized Transport Vehicles

Crew

Crews represent operational personnel responsible for handling, transporting, loading, unloading, installing, and managing assets.

Moving Crews
Freight Crews
Rigging Teams
Technology Relocation Teams
Container Unloading Teams
Installation Specialists

Equipment

Equipment entities represent tools and systems used to support logistics activities.

Forklifts
Pallet Jacks
Server Carts
Lift Systems
Rigging Equipment
Crating Systems
Protective Materials

Location

Locations represent geographic destinations and operational facilities.

Residential Properties
Commercial Facilities
Warehouses
Distribution Centers
Ports
Inland Ports
Data Centers
Medical Facilities

Facility

Facilities are operational environments where logistics activities occur.

Warehouses
Cross Dock Facilities
Distribution Centers
Container Yards
Marine Terminals
Technology Campuses
Data Centers

Infrastructure

Infrastructure entities represent transportation systems and networks supporting movement of goods and assets.

Interstates
Freight Corridors
Rail Networks
Port Systems
Airport Cargo Facilities
Utility Networks
Technology Infrastructure

Service

Services define operational capabilities delivered by logistics organizations.

Local Moving
Long Distance Moving
Commercial Relocation
Data Center Logistics
Container Unloading
Freight Recovery
Export Crating
Warehousing
White Glove Delivery

Event

Events represent state changes occurring within operational systems.

JOB_CREATED
ESTIMATE_GENERATED
VEHICLE_ASSIGNED
CREW_ASSIGNED
PICKUP_STARTED
DELIVERY_COMPLETED

Entity Relationship Model

Customer
    ↓ requests
Service
Service
    ↓ generates
Job
Job
    ↓ creates
Shipment
Shipment
    ↓ assigned_to
Vehicle
Vehicle
    ↓ operated_by
Crew
Crew
    ↓ uses
Equipment
Equipment
    ↓ supports
Workflow
Workflow
    ↓ serves
Customer

Knowledge Graph Integration

Every entity within the registry can be represented as a node within a graph database.

(Customer)
(Shipment)
(Vehicle)
(Crew)
(Equipment)
(Location)
(Facility)
(Service)
(Event)

Relationships connect these entities into machine-readable operational intelligence systems.

Machine Readability

The Logistics Entity Registry supports:

JSON-LD
Schema.org
RDF
Neo4j
Knowledge Graphs
GraphRAG
AI Agents
Operational Analytics
Retrieval Systems

Purpose of the Registry

The purpose of this registry is to provide a standardized, machine-readable foundation that allows transportation systems, logistics platforms, AI systems, and operational workflows to reference a common set of entities and relationships.

This entity registry serves as the core semantic layer connecting documentation, datasets, case studies, protocols, knowledge graphs, event streams, and future logistics operating systems.