Exclusively.com, the preferred destination for Indian designer wear across the globe, will now reach out to Indian consumers through an extensive multi-channel fashion ecosystem. The ecosystem will include its website, iOS and Android Apps, shop-able e-magazine and the blog Exclusively EDIT. Exclusively.com is also expanding its portfolio from Indian designer wear to now include renowned luxury labels and premium brands.
Exclusively.com will leverage technology to make shopping fun, effortless and personalized, with a vision of becoming ‘The Ultimate Online Fashion Destination’ in India. The ecosystem will be complimented by robust supply chain network across 5,000 cities in India, convenient & secure payment options, 24×7 customer support and customer friendly return and replacement policies.
Commenting on the new face of Exclusively.com, Mr. Amit Maheshwari, CEO, Exclusively.com said “We aim to redefine the online fashion shopping in India by making it personalized, fun and effortless for the fashion savvy consumers. Today, we are glad to reveal to the world the platforms that were being molded to perfection over last six months. We are confident that with the multi-channel fashion ecosystem we have set ourselves on a journey to become the leading online fashion player in India. Exclusively.com will be a one stop solution for all fashion enthusiasts.”
With a mall-like architecture, Exclusively.com offers consumers to travel through four distinct levels – designer, luxury, premium & My Floor. Each level has a distinctive aesthetic and ambience, enabling consumers to enjoy a superlative shopping experience.
On ‘My Floor’ the user can build her own wardrobe, personalize her shopping catalog, take inspiration from celebrity styles and shop the looks curated by fashion experts. The floor also gives personalized recommendations, fashion content and offers basis her inputs and browsing pattern.
The platform uses advanced image understanding algorithms built to recognize fashion specific image features using state of the art deep neural networks.