Biba is a leading contemporary Indian wear brand in India, with an operating income of $123 million. It has been successfully offering Indian wear at affordable prices since 1986. Traditionally, an offline retailer with 275 stores across India, Biba understands the importance of online retail and the role of technology to create great user experiences.
Most recommendation solutions in the market are not optimized for fashion, let alone for Indian wear. This meant that shoppers received a very sub optimal experience. Biba wanted an AI partner that understood Indian fashion in order to surface the most relevant products and create an exciting journey for the shopper.
Streamoid's AI styling engine has Indian wear styling intelligence built into it, taking into account the unique styles and color combinations. Biba found the three recommendations tools to be a good fit and has since implemented the solutions across all PDP pages.
Products recommendations that offer a faceted search feature to enable the shopper to widen or narrow down their search.
A better understanding of the contemporary Indian wear shopper and the brand’s style led to the most relevant recommendations, therefore translating directly to the bottom line. Using all three of Streamoid AI styling recommendations, Biba has seen its user experience improve quickly, capturing shoppers with relevant suggestions and better cross selling.
”It has not been easy to find global tech solutions that understand our brand's contemporary Indian aesthetic and deliver efficient results for ecommerce. With Streamoid's trio of AI recommendations, comprising Outfitter, Matcher and Similar, we have seen fantastic results. Their AI fashion engine quickly grasped our brand styles within the context of the region and has since been delivering accurate recommendations for our website. We are very happy with the solution. “