Dressipi - Powering the Future of Retail, Fashion Prediction Platform
Retail Case Studies and Success Stories with dressipi
CASE STUDY A luxury retailer
A luxury retailer wanted to give each customer a better shopping experience. They needed to make recommendations for different types of shoppers in the UAE and Europe. Dressipi helped them set up per...sonalized product and outfit recommendations. The retailer saw a 12% increase in revenue per visitor. They also had a 2% increase in average order value, an 11% increase in conversion, and a 25% reduction in returns.
House of Bruar wanted to increase revenue and reduce returns. They used Dressipi’s AI to personalize product and outfit recommendations. Dressipi’s solution was tested against a generic algorithm and... manual outfits. Revenue per visitor increased by 5%. Return rates dropped by 2%. The team found the results impressive and easy to manage.
John Lewis & Partners wanted to make online shopping easier for their customers. They needed a way to give each shopper personalized outfit ideas. Dressipi helped them by creating up to 100 million p...ersonalized outfits every night. The solution worked for womenswear, menswear, and kidswear. John Lewis saw a big increase in revenue from using these outfit recommendations.
Apparel & Fashion Case Studies and Success Stories with dressipi
CASE STUDY Belstaff
Belstaff wanted to grow ecommerce sales and improve customer experience. They used Dressipi to add personalized product and outfit recommendations to their emails. Dressipi worked with Belstaff to ma...ke sure the recommendations matched the brand's style. Belstaff tested the new emails for four weeks. The emails with Dressipi recommendations had a 14% higher click-to-open rate, 69% more revenue, 32% higher conversion, and 63% more total orders than non-personalized emails.
LK Bennett is a British affordable luxury brand. They spent too much time and money on their old merchandising tool. They wanted to show customers the best products at the right time. They used Graph...eneAI by Dressipi for product and outfit recommendations. This new tool helped them increase revenue by 20%. It also made the team’s work easier and reduced avoidable returns.
River Island is a large UK fashion retailer. They tried two generic personalization providers but saw no real revenue change. They switched to Dressipi’s apparel-specific personalization and saw a 3%... increase in revenue per visitor. After expanding Dressipi’s solution across more categories, revenue increased by 6% in 12 months. Average order value went up by 5% and conversion by 3%. Dressipi’s email integration also boosted revenue per email by 99% and conversion by 45%.
Country Road Group wanted to give their customers a better shopping experience. They used Dressipi to improve product tagging and offer personalized outfit and item recommendations. They tested these... changes on their Witchery brand. Witchery saw a 4% increase in revenue per visitor and an 11% increase in revenue per email. After this success, Country Road Group decided to use Dressipi for all their brands.
Seasalt Cornwall is a UK womenswear retailer. They wanted to give their online customers the same personal experience as in their stores. Generic personalization did not work well for them. They used... Dressipi's software to show personalized outfits and styling ideas to each website visitor. This led to a 1.5% increase in revenue per visitor. The company found this technology helped their profits and digital growth.
