TV celebrity Rannvijay Singh, who shot to fame with the popular adventure reality show MTV Roadies, has invested an undisclosed amount in personalising styling app IStyleYou. He will also be endorsing the brand.
The Gurgaon-based company will use the funding for branding, marketing, and product expansion. It has recently raised a seed funding of $100K from Green House Ventures (GHV) last February.
Rannvijay is well aware of the current boom of fashion and lifestyle industry in the country and it being one of the biggest drivers of e-commerce in India. The industry is projected to be a $30 Billion market by 2020.
“ISY is a unique concept, they have rock solid team. Now it’s time to rock and roll,” said he.
Founded by in November 2015 by Pallav Modi, Amit Kejriwal, and Vinayak Khanijo, IStyleYou is a mobile-based platform to deliver personalised styling service by a network of professional human stylists. They help customers buy the apparels and accessories, based on their personal profile and preferences.
The technology based on intelligent algorithms will assist human stylist to be more efficient and accurate in delivering personalised recommendations.
“We are super excited to have Rannvijay to be a core part of the ISY team. He will play a crucial role in making ISY a leading youth brand,” said Pallav. Vinayak further added that they hope to leverage his popularity and fan following in expanding the need and reach of their brand.
According to Vikram Upadhyaya, the chief Mentor, and evangelist at GHV Accelerator, “This team has cleared the TESTPoC criteria – my personal mantra for a startup to both – sustain and scale. A highly self-driven and committed team; they are always open to different points of view and very adaptive.”
The ISY portal claims that it is currently getting traction of over 10,000 users already, who are interacting with 25+ fashion stylists, and accessing 5000+ styles with 1 lakh curated products. Their core focus has been on building a scalable product that their users love. ISY is looking to scale by using both – machine learning and AI.
