Case Study: Tagg achieves personalized fashion recommendations with Red Foundry’s AI-powered product normalization

TAGG normalizes product data from 100s of retailers with Red Foundry

Tagg, an e-commerce platform for personalized fashion recommendations, needed to normalize product data from hundreds of online retailers but found its initial scraping methods were inaccurate and unreliable. This poor data quality was insufficient for its recommendation engine. Red Foundry was engaged to solve this challenge.

Red Foundry implemented a solution using AWS Personalize, OpenAI, and advanced scraping. OpenAI processed unstructured pages into a clean product model, while AWS Personalize generated personalized recommendations from user behavior. This allowed Tagg to deliver highly accurate, curated product suggestions that captured each user's unique style.

TAGG