Case Study: John Lewis boosts revenue with Dressipi personalized outfit recommendations

How John Lewis Saw A Significant Increase In Revenue With Dressipi’s Outfit Recommendations

John Lewis, the UK department store with a large online fashion business, wanted to reduce friction in its shopping journey and deliver truly tailored one-to-one experiences across womenswear, menswear, and kidswear. To do this, it partnered with Dressipi to add personalized outfit recommendations and improve how customers discover and choose products online.

Dressipi’s fashion-focused recommendation engine and attribute tagging helped John Lewis generate personalized outfits at scale, including multiple outfits per item and by occasion, while also accounting for brand preferences and differences across customer segments. The result was a significant uplift in revenue per email sent, with the outfit recommendations test delivering particularly strong gains for John Lewis.