Suburbia delights shoppers with AI powered discovery

Suburbia brings affordable style and home inspiration to families. With Jewel ML, it delivers a browsing experience that feels curated and delightful.

Challenge

• Vast catalog across fashion, accessories, and home goods made it hard for shoppers to find the right items quickly.
• Cross‑category discovery was limited, with little guidance to pair outfits and decor.
• The team needed a scalable solution that required minimal engineering effort.

Solution

Jewel ML’s no‑code personalization engine powered product recommendations, curated outfits and room sets, and tuned on‑site search. The Suburbia team configured experiences in a simple dashboard and ran A/B tests without writing code.

Impact

• Meaningful uplift in online sales and average order size as shoppers combined fashion and home goods.
• Engagement doubled, with more clicks on recommended products and higher time on site.
• Checkout completion rates improved, reducing cart abandonment.

Why it mattered

Suburbia’s mission is to make fashion and home style accessible to everyone. Personalization enhances discovery, making shopping intuitive and fun.

Future

Suburbia plans to extend AI personalization to its mobile app and seasonal campaigns, continuing to refine recommendations and inspire customers.

‍