Fashion-specific AI business increases revenue per visitor by 5% and reduces returns by 2% for House of Bruar

“The team at Dressipi really understands the nuances around the fashion domain, we have been so impressed with their knowledge and experience. The results of their personalisation are impressive and we are very happy with the strong results achieved so far.”

John Hodge, Head of e-commerce, House of Bruar


With a vast product catalogue across a broad customer base, House of Bruar were keen to see whether personalisation could increase revenues by putting better products in front of each customer. With a large cohort of female shoppers, House of Bruar were also interested in a solution that could reduce return rates.


The partnership started by AB testing Dressipi’s fashion-specific prediction models in two areas: Similar Items on the PDP, and Personalised Outfits on the PDP. This was tested vs a more generic algorithm (not trained on the fashion domain) and outfits that were manually created by the team internally.



5 %

Rev per visitor

-2 %

Return rate

Added benefits

  • Every product is given the love it deserves
  • Every customer sees products they love and won’t return
  • No manual work for in house teams
  • Access to the Dressipi Return Dashboard to highlight quick wins in order to optimise return rates

What's next

  • Adding Dressipi’s Product Attributes to enhance search, navigation and filters
  • Personalising other areas of the digital experience emails, PLP, digital receipts
“We have loved working with House of Bruar. They are a great team with a very open approach to collaboration. We have enjoyed ensuring that their very distinctive brand DNA is maintained across the personalised outfits and that we can cater effectively for country sporting pursuits.”

Sarah McVittie, Co-founder, Dressipi

Want to know what combining our platforms really means to the retail industry? Get in touch.