top of page
kevin-chin-FJkURWqEozM-unsplash.jpg
kevin-chin-FJkURWqEozM-unsplash.jpg

Huckberry

Outdoor E-Tailer Wins Big With Custom Personalization

Retail / Fashion

Highlights

Huckberry, a retailer focused on outdoor and lifestyle products, partnered with CWX to develop a personalized recommendation system using Google’s Retail API and BigQuery, aimed at enhancing user experience and product suggestions.

The Challenge

Huckberry needed a system that could provide personalized product recommendations based on user interactions and preferences, optimizing the shopping experience for each customer.

The Solution

CWX implemented Google’s Retail API and BigQuery to ingest product and user data, training recommendation models for tailored suggestions, and optimizing serving and retrieval through Vertex AI.

The Implementation Process

The personalized recommendation system significantly improved Huckberry’s ability to deliver tailored product suggestions, boosting user engagement and enhancing the shopping experience for customers.

Industry

bottom of page