MACHINE LEARNING

AI-Powered Virtual Fitting Room and Personalized Shopping Experience

Creating personalized shopping experiences goes beyond product recommendations. We developed an AI-powered fitting room experience that delivers relevant products, personalized suggestions, and intelligent shopping journeys across every stage of the customer experience.

<-- Return to Case Studies

Impact

+$20M

in Revenue

Personalized Recommendations Across Multiple Customer Touchpoints

AI-Powered Product Discovery and Navigation

Building on our experience delivering AI-powered recommendation engines, Mudrick & Associates partnered with a $5B retailer to create a personalized in-app fitting room experience that improved product discovery across multiple digital touchpoints. Using collaborative filtering and deep learning models, the platform delivered tailored product suggestions based on each customer's preferences, browsing behavior, and purchase history, creating a more engaging and intuitive shopping experience.

The solution extended well beyond the fitting room itself. Product-to-product recommendations were powered by scikit-learn's NearestNeighbors, while Neural Collaborative Filtering (NCF) models built with TensorFlow and Keras generated personalized user recommendations and streamlined navigation throughout the app. Additional NLP-driven gift classifiers supported seasonal campaigns by automatically surfacing curated collections such as "Top Gifts Under $10" and "Stocking Stuffers." Together, these capabilities created a connected personalization strategy that enhanced the customer journey from product discovery through checkout.

The Result: Recommendations were integrated across every stage of the customer journey, including the in-app fitting room, checkout, Buy Online & Pick Up In Store experiences, and post-purchase campaigns, driving measurable improvements in personalization, customer engagement, and revenue.

View All Case Studies -->