Empower Your Business With The Magic Of Machine Learning!
There are analytics and KPIs that allow you to track the progress of your system, test products and see who wants them, as well as product recommendation scoring. Ranking-listing in the industry that belongs based on immpessions Users—no of people that receive recommendation New users-no of users that do not belong in the eshop Products-no
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The recommendations are presented to the user, through an API mechanism, that connects to your e-shop , in store intelligent shopping assistant display and many other points in the future. On your site when he enters to see any products for purchases In his mail On the messenger In your smartphone application if you have
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The second step is to learn from the habits of your registered users, those who have left emails or addresses or phones or something else that can be linked to him. User based Recommender Based on the data of your users’ actions to date, it can predict what they will buy afterwards. Record the following
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Within your eshop and your business you have a lot of data that is now the fuel of your revenue engine. These data are: Product data with description, prices, availability, sales per product, cliks, length of time consumers stayed with the product, what product they bought with it Consumers with what products they have bought
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