Logistics & Supply Chain Ontology

Comprehensive domain knowledge for logistics providers and supply chain operations.

Overview

The Logistics ontology provides AI agents with deep understanding of:

• Transportation and freight management
• Warehouse and inventory operations
• Order fulfillment and tracking
• Route optimization and planning
• Supplier and carrier management

Key Entities

Entity	Description	Attributes
Shipment	Freight movement	Origin, Destination, Status, Carrier
Order	Fulfillment request	Items, Quantity, Priority, Status
Inventory	Stock item	SKU, Location, Quantity, Status
Carrier	Transport provider	Name, Type, Rates, Service Level
Warehouse	Facility	Location, Capacity, Zones, Equipment

Common Workflows

Order Fulfillment

graph LR
    A[Order Received] --> B[Inventory Check]
    B --> C{In Stock?}
    C -->|Yes| D[Pick & Pack]
    C -->|No| E[Backorder]
    D --> F[Ship]
    F --> G[Track & Deliver]

Inventory Management

• Stock level monitoring
• Reorder point triggering
• Receiving and putaway
• Cycle counting
• Transfer orchestration

Regulatory Compliance

Regulation	Scope	Key Requirements
DOT	Transportation	Driver hours, vehicle safety
HAZMAT	Dangerous goods	Handling, labeling, documentation
Customs	International	Documentation, duties, compliance
OSHA	Workplace safety	Equipment, training, procedures

Prompt Templates

Shipment Tracking

Provide shipment status for {tracking_number}:
- Carrier: {carrier_name}
- Current location: {location}
- Expected delivery: {eta}
- Events: {tracking_events}

Update customer on status, explain delays if any,
and provide next steps.

Route Optimization

Optimize delivery route:
- Orders: {order_list}
- Constraints: {time_windows}
- Vehicle: {capacity_limits}
- Starting point: {warehouse_location}

Calculate optimal sequence considering traffic,
delivery windows, and capacity constraints.

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This ontology is continuously updated based on logistics industry standards and regulations.