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Wooplr disrupts the shopping experience with a revolutionary hyperlocal feature
Local discovery platform, Wooplr, launches new feature to locate the best in shopping & food around you at any time!
The ‘Nearby’ feature on the app is a unique local discovery facility that shows Wooplr users what's good nearby based on information from friends, shopaholics & foodies, wherever the user is. The feature comes with a search option which allows users to look up specific recommendations based on their choice, ultimately helping users decide what, where & how while shopping or eating out. This feature is a disruption in the way product discovery is done in the fashion & food space. It will enable people to experience shopping & eating out like never before.
A Wooplr user might be looking for those perfect heels, searching for stores that sell them in a 2 km radius around her. A search on the Wooplr app will show her the best heeled shoes recommended by shoppers as blips on map around her at the instant. The best bit? She can talk to the store directly & sort the details! Another user might want to know where he can get ‘doughnuts’
This feature enables ‘hyperlocal discovery’ showing users glimpses of the future of shopping with options at their fingertips. The feature is portrayed on a map which makes it that much easier to locate where each recommendation has come from in the list of choices offered to a user. It is a taste of what new age shopping apps will feel like. There’s not much one is left wanting: any information or queries - the nearby feature seals the deal, doing a thorough sweep.
“We believe this feature will change the way people discover products. There is no equivalent in the industry right now.” said Ankit Sabharwal, one of Wooplr’s founders.
This feature is currently available only on Wooplr’s Android app. It is expected to be rolled out to their iOS & Windows Phone apps in the coming weeks.
Wooplr is a social discovery platform where people discover & share shopping finds in fashion, decor & food from places around them based on interest, location & their social circles.