genpark-product-bundling-strategy-skill

GenPark AI Agent Skill — Generate AI-driven product bundle recommendations using co-occurrence analysis and margin optimization.

Features

• Purchase co-occurrence analysis from order history
• Three strategies: frequency_first, margin_first, balanced
• Bundle pricing with configurable discount percentage
• Gross margin calculation per bundle
• Auto-generated bundle names
• Fallback bundles when order history is sparse

Quick Start

from client import ProductBundlingClient

client = ProductBundlingClient(discount_pct=10.0)
result = client.recommend(
    products=[{"id": "A", "name": "Serum", "price": 35, "cost": 8, "category": "skincare"}],
    order_history=[{"order_id": "O1", "product_ids": ["A", "B", "C"]}],
    bundle_size=3,
    strategy="balanced",
)
print(result["top_bundle"])

Installation

python example_usage.py  # No external dependencies

Built by GenPark | alphaparkinc