Algorithms

Unbxd's Product Recommendation Algorithms empower merchandisers, marketers, and developers to deliver personalized, data-driven product suggestions across key touchpoints of the customer journey. These algorithms leverage shopper behavior, catalog insights, and real-time signals to maximize engagement, average order value, and overall conversion.

There 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 behavior.
• 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.