Fun family fashion meets AI: Old Navy lifts ARPU by 6.8% with playful recommendations
Old Navy and Jewel ML bring value-driven style and personalized suggestions to families, boosting average revenue per user by 6.8% and inspiring larger carts


Revenue per shopper uplift
Payback period
Return on investment from personalization
Old Navy brings accessible, inclusive fashion to the whole family. To translate its welcoming, store-like experience into digital, the brand sought a way to help shoppers discover the right styles effortlessly.
By partnering with Jewel ML, Old Navy launched AI‑powered recommendations across its online store. The no‑code platform used product signals and browsing behavior to surface outfit ideas, complementary items and relevant categories, making shopping feel like a personalized consultation.
During a 30‑day A/B test, this curated experience delivered a measurable uplift in revenue per user and improved product discovery. Customers engaged more deeply with recommendations, explored more of the assortment and moved from inspiration to purchase with ease.
The results show how a beloved lifestyle brand can use machine learning to elevate the digital journey while staying true to its identity—making it fun and effortless for everyone to find what they love.
Jewel ML’s AI recommendations help our customers discover everyday style essentials effortlessly, boosting engagement and driving meaningful business impact.



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