Brick vs. Click? Retail and ecommerce platforms need to consolidate their value proposition in every format, simultaneously offering a satisfactory customer experience. Fashion industry leaders are integrating Artificial Intelligence solutions to help clients navigate their stocks the same way a personal shopper would, improving tailor-made recommendation systems. We also use Machine Learning to help companies minimize the cost of returns.
A multicountry Retail company wanted to improve both the online and in-store customer experience in their Fashion departments. The recommendation system should be more precise, intuitive and stock-driven. Using Machine Learning algorythms, we got rid of the inconsistecies in the tabs, provided by different suppliers, behind each reference picture: not only did the solution identify the garment and all its characteristics, but it also drove all its recommendations according to the vector shared by all the recently viewed articles.