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A virtual showcase is the calling card of any e-commerce. If you have a business on the internet, you know that it is critical to your online store - this functionality is available at e-commerce platformsLike cloudshop, For example. Especially if it's a smart showcase, that is, that has the customization capability, presenting the most relevant products for each customer.
But standalone virtual showcase is able to do that automatically, without needing the help of an analyst to set it up. Understand how this is possible in this post!
Autonomous virtual showcase: what it is
The standalone virtual showcase customize the shopping experience of user de way automatictheu be, without the need for a professional to do the analyzes and configurations. Is artificial intelligence (AI) that does it all! The same one that made the The Amazon sell 81,5 bilhões on 2018!
If you have smart shop windows in your online store, you know that customization capability showcases directly influences the quality da customer experience. Because works as a virtual seller which know exactly what is most relevant to each consumer and recommends the products with the highest chances of purchase.
In addition, with the customization It's possible to know which virtual storefronts to show for each user and even the ideal location in which they should be installed. For example: “Most Visas”, “Most Purchased”, “Recommended for you” and “What others are buying”. There is a huge variety of virtual storefronts, but what is interesting for one person, may not be for another. As well as the position in which they are distributed: "Recommended for you" on the home page? “Most viewed” on products? Anyway, everything is analyzed and organized according to the degree of attractiveness for each person.
They recommendation system it helps to sell more in the virtual store, doesn't it?
But if you have recommendation windows in e-commerce you know that this customization is not that simple and fast. People change interest all the time - especially on the Internet, where there is so much information -, while reviews and updates of the recommendation system, in turn, are much slower.
Personalized virtual showcase without artificial intelligence
In a recommendation system PULL artificial intelligence things take a long time to happen, as several professionals are needed for each action: one to configure the tool; another to analyze the performance of the windows in each position; and another to change places, if necessary.
Normally, A / B tests are carried out, in which the virtual storefronts are changing positions. Only after these tests have been carried out is it possible to identify which of the shop windows has converted the most at each point and decide which positions each one should be fixed to.
It is an extensive process, as you might imagine, that takes a while to complete and even more to be redone if there is a need for updating (and there always is, as things on the internet change all the time, as we have already mentioned) .
Customized virtual showcase with artificial intelligence
The virtual storefronts are organized and positioned in the store automatically, without the need for specific professionals for this. The intelligence analyzes the navigation of each user in real time and, with this, is able to recognize which are the windows and the most relevant items for each person and even where the windows will have greater capacity of conversion.
But the analyzes are done all the time and if the AI realizes that a certain window is not converting very well, immediately puts another one in its place.
It manipulates and monitors the performance of virtual showcases autonomously and constantly, always focused on achieve maximum conversion within virtual stores.
In addition to being much faster and more practical, autonomous virtual storefronts are also more economical, since there is no need to pay labor to control them.
With them, you customize e elevates shopping experience of your customers, which makes them stay on the site longer and access more pages per session. And with that, the bounce rate drops dramatically, as shown by the Google Analytics indicators below:
Are you interested in implementing this technology in your online store? Talk to us!
Written by: Tania d'Arc