Realistic E-commerce Data: Catalogs, Funnels, and Orders

The "Empty Store" Problem

Load testing an e-commerce platform with 10 products and 1 user is meaningless. But generating 1 million products that make sense (correct attributes, categories, and prices) is hard.

🛒 1M Products + 0 Users = Zero Load.

Aphelion solves this by generating both the Catalog (the static data) and the Traffic (the dynamic event stream).

Deep Capabilities

🛍️ Product Catalog

Rich hierarchies (Category A > Sub B), weighted pricing, and attributes (Color, Size).

🖱️ User Behavior

Sessions, View Item, Add to Cart, Abandonment, and Purchase funnels.

📦 Order Stream

Realistic timing (Black Friday spikes), split shipments, and returns.

🧩 Platform Support

Native support for complex EAV schemas like Platform M.

The Session Lifecycle

We don't just insert orders. We simulate the Shopper's Journey:

Time 00:00: User A starts Session X (Referrer: Search).
Time 00:05: Views Product 1 and Product 2.
Time 00:12: Adds Product 2 to Cart.
Time 00:15: Enters Checkout Flow.
Time 00:18: Order Placed (Payment Confirmed).

// Example Generated Session Event
{
  "session_id": "sess_8923...",
  "event_type": "add_to_cart",
  "product_id": "prod_123",
  "timestamp": "2024-12-13T10:12:45Z",
  "metadata": { "quantity": 1, "variant": "blue" }
}

Performance Testing Ready

Search Optimization

Test your elasticsearch indexing with millions of varied product descriptions and attributes.

Recommendation Engines

Train "Customers who bought X also bought Y" models on widely distributed synthetic purchase history.

Scale your store testing today

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