New O2O Model For North American Retailers
< p > imagine a scene like this: you saw a beautiful shirt at a friend's house or a store shelf one day, and loved it.
At this point, you take out your cell phone and open a large "a" target= "_blank" href= "http://www.91se91.com/" > "/a" retail companies APP, taking a picture of the shirt.
Then APP quickly identifies, processes, and imports a web page for you. You can buy this shirt directly from the Internet.
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< p > above is the commitment made by Slyce of Toronto Technology Development Company in Canada to users.
Slyce has developed the technology of intelligent recognition, and has used it to guide customers to the online shopping mall of retailers.
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< p > > Hugo net compiled the related articles published by the Canadian globe and mail: the chief technology officer of Slyce, El, said: "what we are doing now is to let people take photos of any object in the real world online, and then our technology will identify objects through photos, and guide people to buy it in the online virtual world."
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< p > mobile APP "Shazaam" was once popular in the world. It can help people identify music and guide people to consume music stores such as iTunes.
However, Slyce is quite different from it. Consumers never see Slyce's APP on the interface, because Slyce only provides behind the scenes technical support for large brand websites, which is the so-called white label solution.
Today, Slyce has cooperated with twenty top US retailers, but most of the cooperation projects will be implemented in the third quarter of this year.
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< p > this software must first identify what is in front of the object.
It is a shirt, a vase, or something else, and then determines its unique characteristics.
The software will sort and sort out the categories of objects, and minimize the scope of categories. Then, according to the framework designed by Slyce team, we will further analyze the object and establish an attribute model.
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< p > if the object is a shirt, software will not only absorb its color, style and other information, but also include more information, such as the number of buttons, the distance between buttons, the number and location of pockets, the style of collar, and so on.
Through this gradual decomposition, Slyce software can not only provide customers with the best merchandise collocation, but also produce the most similar merchandise sold in the same thing.
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< p > when a retailer is working with Slyce, Slyce will first "digest" all the < a href= "http://www.91se91.com/news/index_f.asp" > < /a > catalogue of the retailer (fortunately, most retailers set up a photo shoot system when they run online stores), and then establish various models for different categories of commodities.
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Elfenbein, chief technology officer of P Slyce, said that every new product involved, we need to create a new model.
For example, the parameters of a toy shop are different from those of household utensils store, but once a commodity model is established, these models can be reused.
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< p > finally, this series of models and parameters will be integrated into the retailers' online stores and APP implementation.
In this case, consumers may be unaware of the use of the technology, but Slyce's technology is playing a real role.
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< p > for retailers, we should pay more attention to the question of what pictures the customers have photographed, whether to buy them or so on, because the information of the aspect is of great benefit to the subsequent marketing.
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< p > in fact, from a retailer's point of view, data itself is as important as customer purchase, and this software can help businesses to collect customers' "wish list" and understand what they want to buy, so as to develop effective marketing strategies.
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< p > Slyce is headquartered in Toronto, and its business tentacles extend to the entire a href= "http://www.91se91.com/news/index_p.asp" North America < /a > area.
Last year, Slyce got $4 million in financing.
It is a fast growing company with great potential to change the mode of interaction between consumers and businesses.
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