Algorithms

Unbxd's Product Recommendation Algorithms is a machine learning-powered system that surfaces relevant products by combining shopper behaviour with catalogue intelligence.

It continuously analyzes user interactions and product data to deliver context-aware recommendations across every stage of the shopping journey.

These are structured into three key modules:

• Custom Algorithms: Predefined recommendation types like Top Sellers, Recommended For You, and Cross-Sell, based on business logic and shopper behaviour.
• Core Algorithms: User-defined or Unbxd-provided hybrid algorithms built on top of core algorithms, enhanced with fallbacks and advanced filtering.
• Global Filters: Applied across all recommendation widgets to maintain catalog-level consistency in what products are eligible for display.

Together, these layers allow brands to deliver highly relevant and consistent recommendations across their storefront.

Each module provides detailed control over how recommendations are generated, customized, and managed within the Unbxd ecosystem.