Retail & E-commerce Ontology

Comprehensive domain knowledge for retail stores and online commerce operations.

Overview

The Retail ontology provides AI agents with deep understanding of:

• Product catalog and inventory management
• Customer service and support
• Order processing and fulfillment
• Returns and refunds
• Loyalty programs and promotions

Key Entities

Entity	Description	Attributes
Product	Merchandise item	SKU, Price, Stock, Category
Customer	Shopper	Name, Loyalty Status, History, Preferences
Order	Purchase	Items, Total, Status, Payment
Return	Merchandise return	Reason, Amount, Status, Restocking
Promotion	Discount offer	Type, Value, Conditions, Dates

Common Workflows

Order Processing

graph LR
    A[Order Placed] --> B[Payment]
    B --> C{Approved?}
    C -->|Yes| D[Fulfillment]
    C -->|No| E[Decline]
    D --> F[Ship]
    F --> G[Deliver]

Customer Service

• Product inquiries and recommendations
• Order status and tracking
• Return and exchange processing
• Complaint resolution
• Loyalty program management

Regulatory Compliance

Regulation	Scope	Key Requirements
PCI-DSS	Payment processing	Secure card data handling
Consumer Protection	Sales practices	Fair advertising, warranties
ADA	Physical/digital stores	Accessibility compliance
State Sales Tax	Revenue	Collection, remittance

Prompt Templates

Product Recommendation

Recommend products for customer:
- Customer: {customer_id}
- Purchase history: {past_purchases}
- Browsing: {viewed_products}
- Budget: {price_range}

Suggest relevant products based on preferences,
trending items, and complementary purchases.

Return Processing

Process return request:
- Order: {order_number}
- Items: {return_items}
- Reason: {return_reason}
- Date purchased: {purchase_date}

Verify return policy eligibility, calculate refund,
provide return label, and update inventory.

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This ontology is continuously updated based on retail trends and e-commerce best practices.