Coach crafts luxury experiences with AI-driven personalization and over 6% uplift
Coach leverages Jewel ML's AI to present handbags and accessories tailored to each shopper's taste, driving a 6.8% ARPU uplift and deeper customer engagement.


Increase in revenue per user (A/B test)
Payback period
ROI from recommendations
Coach blends heritage craftsmanship with modern design to create timeless accessories.
To bring its high-touch, in-store styling experience into digital shopping moments, the brand partnered with Jewel ML to deliver AI-driven product discovery that feels curated and personal.
With Jewel ML’s no-code personalization engine, Coach launched dynamic recommendations across key pages—helping shoppers explore relevant styles, discover complementary products, and find the right option with confidence. The platform learned from catalog signals and on-site behavior to surface items that match each shopper’s intent, creating an experience that feels like a one-to-one consultation.
In a 30-day A/B test, the experience delivered a measurable lift in revenue per user while improving the quality of product discovery. Customers engaged more deeply with recommendations, explored more of the assortment, and moved from browsing to purchase more smoothly—turning inspiration into action.
Together, Coach and Jewel ML proved that personalization can scale without compromising brand identity: a curated journey that respects the craftsmanship of the product while using machine learning to make shopping feel effortless.
Jewel ML’s recommendations helped us create a more curated digital experience—guiding customers to the right products faster and driving measurable improvements in performance.


.png)











.svg.png)




