Wrogn to leverage advanced data analytics for deeper insights into consumers’ preferences
Fashion brand Wrogn plans to explore advanced data analytics to gain deeper insights into customer preferences and market trends for making more informed decisions.
The brand also plans to enhance the use of artificial intelligence to deliver highly personalised shopping experiences, says Nishant Poddar, CMO and Head-Retail Experience, Wrogn. The brand believes, AI will allow it to project trends and recommend products that align with individual customer preferences. Additionally, AI will help it minimise overproduction and improve endless aisle capabilities.
Another of the brand’s key focus includes expanding its omnichannel capabilities, adds Poddar. The brand aims to a seamless shopping experience for its customers; whether they are shopping online, using a mobile device, or visiting a physical store. To further reduce returns, the brand adopts virtual fitting solutions, providing customers with a more accurate and satisfying shopping experience.
Lastly, Wrogn plans to implement customer journey analytics to track the end-to-end customer journey across all retail touchpoints. These tools will offer the brand valuable insights to improve and enhance the customer experience.
