About WANT Marketplaces
WANT Marketplaces runs a global ecosystem of B2B, B2C, O2O, C2C hyperlocal, social, private groups and secure messaging based e Commerce marketplaces powered by the benipal shopping search engine, a relational contextual image, voice and text based search engine.
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Shopping search engine
The shopping search engine did what no one had been able to do thus far, and probably not till date either. The ability to do relational and contextual search over long tail queries, and being actually able to understand the meaning of the query itself. It could distinguish each and every Color, metal, size, identifier, product, category, price range, distance. You name it. Now if you have a search engine that can understand this difference, the result becomes so much more refined.
Advances computing power
With advances in computing power and image recognition technology, it is possible now to
create a hash of the image in the mobile phone itself before sending it to the backend
server for search processing. Why type when you can just point your phone at something and get the same results? Point your phone at a design on a piece of fabric and image search can find all related items. Point it at a Mixer Grinder and viola, you have all the mixer grinders available to browse through.
Beauty of voice search
Why type when you can just speak and search. And what better than a search engine that understands context and relation. From the beginning of search engine development, knew that one day search would come to be more voice focused and hence developed technology that would ideally be in the right place at the right time. When a user asks a question, it will almost always be in natural language. But at the backend, the search systems still rely on text parsing and word detection.
The world has moved to mobile computing. Gen Y does not even understand what a
“computer” is and assumes a tablet for a computer. Web versions have had a stranglehold on internet marketplaces for a long while due to ease of browsing and search. No more. With 1.4 Billion mobile phones shipped in 2018 alone, it is estimated a total of 4 Billion
mobile phone devices are in the hands of prospective customers worldwide. With this in mind, marketplaces were built for mobile first.
A product starts its life being manufactured in a factory. Take a typical Mobile phone as an example – Made in China. Can you buy it directly from the manufacturer? If you were buying a Million pieces, sure. What the manufacturer really needs is immediate cash flow and as a result is willing to sell in bulk to a distributor for a very low margin. This is the first step in the lifecycle of a product, a Business to Business sale. B2B. Now the Distributor has a million Mobile phones.
The company relies heavily on machine learning in its core search engine to solve the
problems of duplicates, fake products and brand misrepresentation. While Artificial Intelligence is a much ballyhooed term, the company chooses to not term its efforts in machine learning as such It is belief that Artificial Intelligence cannot be created, yet most of the work done on Image recognition and driver less cars has been directly culled from the efforts of hundreds of thousands of low paid workers.
Sukhbir Benipal FOUNDER, CTO
Quote This article is writing on 26 June 2019 based on information available online & news portal. If you feel it’s outdated or incorrect, please write here to update it. Mail us: email@example.com Or Whatsapp Us- +13098896258
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