In today’s world of online shopping, the importance of retention and conversion are the priority. Lost in the keywords, categories and so on, we tend to miss out the important stuff. Here, comes SnapShopr online shopping app – with its image recognition AI solves the problem of text based search. The basic idea behind SnapShopr was to replace the entire online catalog from text search to image using the image recognition AI. This online shopping app is currently only available for Android phones. SnapShopr was founded by Navneet Sharma and Debashish Pattnaik in September 2014.
Snap to Shop Feature
Although, the top online websites like flipkart, myntra, snapdeal, jabong use the image recognition search but this mobile app helps you to search the similar images using an image or pattern that you have in mind. For example, if you are looking for a dress in a specific pattern and you have an image, you can just search with that pattern or image and you will get related results. Still in the experimenting and researching phase, more features are in store as they have an exclusive team for research and testing.
How SnapShopr Online Shopping App Works?
Awards and Recognition
They have also been awarded as the best App runner up at Google App Expo’15. They were also selected in Top 15 startups at Google LaunchPad Week and many more in row. In the effort of building its global presence, this app is widely accepted in the domestic market and has also got huge investors.
This online shopping app was developed to provide a solution for the mobile search. But not only for shoppers, this technology and app can be used for all the eCommerce and mcommerce platform. Tired of the old school shopping try and explore this app to find the best results for what’s on your mind.
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