Farfetch<\/p>\n
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Created by Jos\u00e9 Neves in 2007 and headquartered in London, Farfetch<\/strong> is a marketplace that sells products from over 700 boutiques and brands from around the world. Farfetch enables fashionistas anywhere in the world to shop for a unique range of products from the world\u2019s best fashion brands and boutiques. Farfetch displays over 3,000 different brands on its website and ships to 190 countries around the world. Farfetch's mission is to become the first global tech platform for luxury fashion, connecting creations, curators, and consumers.<\/p>\n <\/p>\n Love the Sales<\/p>\n https:\/\/www.lovethesales.com<\/a><\/p>\n <\/p>\n Founded in 2015, LovetheSales.com<\/a> is the result of an ambitious idea from Mark Solomon and David Bishop. The concept? An online platform gathering all the sales in one place, from a thousand retailers worldwide. This way, customers can find the best offers on the web, whether it's clothes or home textiles. They can also set alerts to know when their favourite items go on sale. LVS' active mission is to make the retail industry more sustainable by decreasing the 92 million tonnes of waste produced by the fashion industry every year as a result of unsold stock.<\/p>\n <\/p>\n NearSt<\/p>\n https:\/\/near.st\/<\/a><\/p>\n <\/p>\n NearSt observed that \"83% of shoppers would prefer to shop in-store instead of online if they know an item is available in a nearby store.\" To satisfy this demand, in 2015 Nick Brackenbury and Max Kreijn decided to develop a shop finder that shows nearby shops whose process is simple. Thanks to NearLive technology, the user is connected to any shop inventory system and the raw stock turns into quality live inventory. NearSt believes that Real-Time Local Inventory data will transform the way the world thinks about retail.<\/p>\n <\/p>\n Dressipi<\/p>\n https:\/\/dressipi.com\/<\/a><\/p>\n <\/p>\n Founded in 2011 by Donna Kelly and Sarah McVittie, Dressipi is an online Fashion Prediction platform. Dressipi enables retailers to predict what their customers will buy and not return, by optimising profitability and providing customers with the most enjoyable experience. Combining its unique 5-million fashion customers' database with AI, Dressipi helps retailers to drive new revenues, decrease returns and increase conversion and frequency of purchase. Retailers can be more profitable, more customer-centric and more efficient.<\/p>\n <\/p>\n YR UK<\/p>\n