PARAM: Prediction of Successful Fabrics for Upcoming Seasons in Fashion Industry

In the highly competitive and dynamic fashion industry, choosing a high-selling fabric design for the apparel is critical.Conventional approach is time-intensive and dependent on individual expertise.PARAM uses AI to predict the success of a fabric design, well ahead of time.It uses historical data to transform the designing and buying processes into a datadriven decision process.The solution, mentioned in this paper, builds insights on attribute level contribution to success and similarity of fabrics to those in past collection.It minimizes left over inventory and lost opportunity, a challenge that plagues fashion retail.