Staqu Brings E-commerce Directly Into Camera Of The Phone Through Snap & Buy Technology
The surge in the entrepreneurial ecosystem has given rise to a disruptive and invigorating Gurgaon-based startup, Staqu, endeavoring to revolutionize fashion ecommerce. Founded by Atul Rai, Anurag Saini, Chetan Rexwal, Pankaj Sharma, the company has utilized the expertise of the founding members to pioneer an innovative image-to-image matching system-simplifying image search, automated meta-tag generation and real time recommendation.
“Images are at the epicenter of the ecommerce industry, especially fashion ecommerce. By the virtue of its nature, it is difficult for the users to describe a particular item in words, and for the ecommerce portals to understand process and provide the same. At Staqu, we endeavor to make the experience simpler and seamless for the users, by applying Artificial Intelligence in product discovery. Following the same, users will now be able to search for their preferred products by simply uploading the images along with receiving complete analysis of fashion trends. Through our technology, ecommerce sites will now be able to provide the most relevant product recommendations,” said Atul Rai, Co-Founder and CEO of Staqu.
To mark the launch of its Snap n Buy technology, Staqu has already partnered with India’s leading handset player, Karbonn Mobiles, debuting AI enabled fashion search features in its newly launched range of smartphones, Fashion Eye and Fashion Eye 2.0. The in-built app engineered by Staqu, utilizes the special compression technology to enable faster search results and a seamless experience, irrespective varying data speeds enabling the users to discover fashion like never before through the advent of AI
FashionEye uses Staqu’s proprietary Artificial Intelligence (deep learning based) engine to help users discover products in the fashion domain through a single click. The technology is a combination of the state of the art artificial intelligence algorithms that automatically extract details from an image including but not limited to pattern, colour and shape and search it across all the major e-commerce catalogues in the country.
Staqu has developed an extremely fast image retrieval algorithm that not only searches through millions of products within milliseconds but also compresses the images so as to provide the user a seamless experience over any network speed be it 2G or 3G. Along with this, Staqu is using its research prowess in image understanding technologies to create user-based recommendation engine that performs real time trend analysis in fashion.
This will be achieved by detailed and automated analysis of users’ preferences and fashion choices along with real-time analysis of trends that, in India, are majorly set by celebrities and films. All this will be presented to the user right at the main page of the FashionEye application making it a seamless and hassle-free discovery experience for the user.
