Mr. Draper, the region’s first online personal styling start-up….

Mr. Draper, the region’s first online personal styling start-up, is reinventing the shopping experience for men!

Dubai – UAE / June 2019: Combining fashion and technology the suave app Mr. Draper – the first of its kind in the Middle East region – reinvents the shopping experience, making it more convenient and hassle free.

By sending customers stylist- curated outfits to try on at home or office for five days. Customers only keep and pay for what they love and return the rest of the items, delivery and collection free of charge curtsy of Mr. Draper. Each time, in-house developed algorithms will learn more about customers’ tastes, making subsequent offer suggestion almost perfect to match your unique style and budget.

Lacoste, Reiss, Hacket, Calvin Klein, Tommy Hilfiger, Scotch & Soda, Fred Perry, Diesel among other brands are available on the app for a great shopping experience without stepping into a mall. The best part is there is no styling fee or any other hidden fees associated with this seamless and hassle-free shopping experience. Additionally, the prices for everything, from clothes to accessories, are exactly the same as store prices. Similar apps in Europe and US have amazingly well with customers looking for a convenient shopping experience while not compromising on style.

In May 2019, Mr. Draper was the winner of the best-in-class award of $50,000 granted by the Sharjah Entrepreneurship Centre (Sheraa), during the unveiling of their impact report and showcases their latest A cohort.

As part of its expansion plans in the region, Mr. Draper has joined the popular crowdfunding platform FundedByMe to raise capital to fuel its growth. They invite you to become part of their story and a brand ambassador.

About Mr. Draper

Mr Draper is on a mission to reinvent the shopping experience to make it more personal and convenient. Customers get started by filling out a simple but powerful questionnaire on our website, giving details like styles, Sizes, favourite brands and budgets. This information is analysed and profiled by our recommendation engine and then customized by a personal stylist to create a set of curated outfits to try-on at home for 5 days. Customers can then keep what they love, and we collect the rest. The real magic behind the scenes is in the vast amount of data that we collect where a return is as valuable as a purchase. Our machine leaning algorithm combines customer profile, purchase data and customer feedback to continuously improve the process of suggesting the right items for the right customer.

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