Fashion is a multi-billion-dollar industry with social and economic implications worldwide. One of the biggest problems confounding several fashion houses is the problem of unsold dead inventory. Despite having vast amounts of historical data pertaining to product, sales and inventory, only about 50-60% of the products sell well and rest go through severe mark downs. This is primarily due to volatile nature of fashion trends and fashion brands producing several new products to catch up with the trend. Fashion, i.e., “prevailing style during a particular time”, by design and definition changes by season, and so any unsold inventory at the end of each season is generally liquidated. While smaller designers and retailers generally move the merchandise to discount stores, some top design houses resort to recycling or even destroying the merchandise to avoid dilution of their brand. The environmental impact of the industry is even worse with the US EPA estimating 16 million tons of textile waste generated in 2016 in just the US.
The goal of this workshop is to gather people from academia, industry, and startups working at the intersection of fashion, AI, data mining and knowledge discovery, and supply chain to further the technology and its adoption. The first, second, third and fourth international workshops on fashion and KDD were organized at KDD 2016 in San Francisco, KDD 2017 in Halifax, KDD2018 in London and KDD 220 in Anchorage respectively, and engendered scholarly debate among experts and led to several innovative ideas.