E-Commerce Sector
The E-Commerce sector focuses on high-fidelity transactional and user behavioral data, enabling deep evaluation of agents specializing in personalization, dynamic pricing, and inventory management.
🛒 Status: HARDENED
Section titled “🛒 Status: HARDENED”- Architecture: Olist & UCI Transactional Layer.
- Verification: 100% Parity with the Olist Public Dataset.
📡 Data Sources
Section titled “📡 Data Sources”| Source | Description |
|---|---|
| Olist | Brazilian E-commerce Public Dataset (Authoritative transactional data). |
| UCI | Online Retail datasets for behavioral and churn modeling. |
| PriceTrack | Real-time competitive pricing simulators for dynamic adjustment tests. |
🛠️ Industry Schema
Section titled “🛠️ Industry Schema”E-Commerce records utilize identifiers for customers, products, and orders:
order_id/customer_id/product_id: Deterministic transaction identifiers.price: Numerical reading (standardized to USD).score: Review score (1-5 scale) or sentiment analysis index (0-1).product_category: Standardized category labels from Olist/UCI.
🎯 Core Functions
Section titled “🎯 Core Functions”Key functions identified for this sector include:
- Sales & Merchandising: Promotions, product updates, and storefront management.
- Operations & CX: Returns, refunds, and order status lifecycle.
- Inventory: Stock level monitoring and procurement.