Savitude enables retailers to offer personalized clothing recommendations to guide women to the right designs for their individual features. Our technology enhances retailers’ capability to sell more items with fewer returns and leaves them with more satisfied guests who will visit more often.
Although research has proven that women fall into 9 shape categories, clothing is sold in sizing based on idealized models that do not accurately represent the population and yields $50B in unproductive inventory. Savitude takes product data from the images on retailers’ eCommerce sites, classifying the clothing using our visual recognition technology. Shoppers share their body shape & proportion by answering 6 easy questions. The results, combined with our AI enables Savitude to guide women to the right designs for their individual shape. Savitude’s actionable data adds more precision to the forecast and continuous refinements to the supply chain and inventory rationalization.